Book Chapter
Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery
Lapp L, Bouamrane M, Kavanagh K, Roper M, Young D & Schraag S (2019) Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. In: Riano D, Wilk S & ten Teije A (eds.) Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Lecture Notes in Computer Science, LNCS volume 11526. Cham: Springer International Publishing, pp. 376-385. https://doi.org/10.1007/978-3-030-21642-9_48
Technical Report
Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport
Brownlee A, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport. University of Stirling. Stirling: University of Stirling.
Conference Paper (published)
A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem
Reid KN, Li J, Brownlee A, Kern M, Veerapen N, Swan J & Owusu G (2019) A Hybrid Metaheuristic Approach to a Real World Employee Scheduling Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference 2019. GECCO '19: The Genetic and Evolutionary Computation Conference 2019, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 1311-1318. https://doi.org/10.1145/3321707.3321769
Conference Paper (published)
Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers
McMenemy P, Veerapen N, Adair J & Ochoa G (2019) Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EVOCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 99-114. https://doi.org/10.1007/978-3-030-16711-0_7
Conference Paper (published)
Quasi-Optimal Recombination Operator
Chicano F, Ochoa G, Whitley D & Tinós R (2019) Quasi-Optimal Recombination Operator. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. EvoCOP 2019: European Conference on Evolutionary Computation in Combinatorial Optimization, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 131-146. https://doi.org/10.1007/978-3-030-16711-0_9
Conference Paper (published)
Clarifying the Difference in Local Optima Network Sampling Algorithms
Thomson SL, Ochoa G & Verel S (2019) Clarifying the Difference in Local Optima Network Sampling Algorithms. In: Liefooghe A & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, 11452. The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation, Leipzig, Germany, 24.04.2019-26.04.2019. Cham, Switzerland: Springer International Publishing, pp. 163-178. https://doi.org/10.1007/978-3-030-16711-0_11
Conference Paper (published)
Sentiment Aware Fake News Detection on Online Social Networks
Ajao O, Bhowmik D & Zargari S (2019) Sentiment Aware Fake News Detection on Online Social Networks. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 12.05.2019-17.05.2019. Piscataway, NJ, USA: IEEE, pp. 2507-2511. https://doi.org/10.1109/ICASSP.2019.8683170
Article
Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks
Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing, 57 (10), pp. 7503-7520. https://doi.org/10.1109/tgrs.2019.2913861
Article
Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks
Nogueira K, dos Santos JA, Menini N, Silva TSF, Morellato LPC & da S Torres R (2019) Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, 16 (10), pp. 1665-1669. https://doi.org/10.1109/lgrs.2019.2903194
Article
Design and Characterization of a Micro-Fabricated Graphene-Based MEMS Microphone
Wood GS, Torin A, Al-mashaal AK, Smith LS, Mastropaolo E, Newton MJ & Cheung R (2019) Design and Characterization of a Micro-Fabricated Graphene-Based MEMS Microphone. IEEE Sensors Journal, 19 (17), pp. 7234-7242. https://doi.org/10.1109/JSEN.2019.2914401
Other
JPEG White paper: Towards a Standardized Framework for Media Blockchain and Distributed Ledger Technologies
(2019) JPEG White paper: Towards a Standardized Framework for Media Blockchain and Distributed Ledger Technologies [An initiative exploring opportunities in media blockchain and distributed ledger technologies and impacts on JPEG standardization]. Bhowmik D (Editor) & Temmermans F (Editor) Joint Photographic Experts Group (JPEG), ISO/IEC Joint Technical Committee 1, Subcommittee 29, Working Group 1 (ISO/IEC JTC 1/SC 29/WG 1) Document number: N84038. https://jpeg.org/static/whitepapers/jpeg-media-blockchain-whitepaper.pdf
Conference Paper (published)
Gin: Genetic Improvement Research Made Easy
Brownlee AEI, Petke J, Alexander B, Barr ET, Wagner M & White DR (2019) Gin: Genetic Improvement Research Made Easy. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 985-993. https://doi.org/10.1145/3321707.3321841
Conference Paper (published)
Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm
Brownlee AEI, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm. In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: ACM, pp. 131-132. https://doi.org/10.1145/3319619.3322028
Article
Google Trends in Infodemiology and Infoveillance: Methodology Framework
Mavragani A & Ochoa G (2019) Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance, 5 (2), Art. No.: e13439. https://doi.org/10.2196/13439
Edited Proceedings
Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts
(2019) Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 05.06.2019-07.06.2019. IEEE. https://doi.org/10.1109/cbms.2019.00051
Article
EuroGP vs EvoCOP: contrasting the collaboration networks
Goranova M, Ochoa G & Tomassini M (2019) EuroGP vs EvoCOP: contrasting the collaboration networks. ACM SIGEVOlution, 12 (1), pp. 6-12. https://doi.org/10.1145/3328473.3328475
Article
Design Requirements for a Digital Aid to Support Adults With Mild Learning Disabilities During Clinical Consultations: Qualitative Study With Experts
Gibson RC, Bouamrane M & Dunlop M (2019) Design Requirements for a Digital Aid to Support Adults With Mild Learning Disabilities During Clinical Consultations: Qualitative Study With Experts. JMIR Rehabilitation and Assistive Technologies, 6 (1), Art. No.: e10449. https://doi.org/10.2196/10449
Article
Supermetric search
Connor R, Vadicamo L, Cardillo FA & Rabitti F (2019) Supermetric search. Information Systems, 80, pp. 108-123. https://doi.org/10.1016/j.is.2018.01.002
Article
Increasing the performance of a Mobile Ad-hoc Network using a game-theoretic approach to drone positioning
Blakeway S, Gromov D, Gromova E, Kirpichnikova A & Plekhanova T (2019) Increasing the performance of a Mobile Ad-hoc Network using a game-theoretic approach to drone positioning [Game Theoretic approach to increasing MANET performance]. Vestnik of Saint Petersburg University Applied Mathematics. Computer Science. Control Processes, 15 (1), pp. 22-38. http://vestnik.spbu.ru/ENG/s10.html
Article
Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program
Somers C, Grieve E, Lennon M, Bouamrane M, Mair FS & McIntosh E (2019) Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program. JMIR mHealth and uHealth, 7 (1), p. e3. https://doi.org/10.2196/mhealth.9990
Article
Combination of techniques to quantify the distribution of bacteria in their soil microhabitats at different spatial scales
Juyal A, Otten W, Falconer R, Hapca S, Schmidt H, Baveye PC & Eickhorst T (2019) Combination of techniques to quantify the distribution of bacteria in their soil microhabitats at different spatial scales. Geoderma, 334, pp. 165-174. https://doi.org/10.1016/j.geoderma.2018.07.031
Article
Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing
Garcia P, Bhowmik D, Stewart R, Michaelson G & Wallace A (2019) Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing. Journal of Imaging, 5 (1), Art. No.: 7. https://doi.org/10.3390/jimaging5010007
Conference Paper (published)
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
Alqarafi A, Adeel A, Hawalah A, Swingler K & Hussain A (2018) A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. In: Hussain A, Zhao H, Ren J, Zheng J, Liu C, Luo B & Zhao X (eds.) Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science, 10989. BICS 2018: 9th International Conference on Brain Inspired Cognitive Systems, Xi'an, China, 07.07.2018-08.07.2018. Cham, Switzerland: Springer International Publishing, pp. 589-596. https://doi.org/10.1007/978-3-030-00563-4_57
Conference Paper (published)
Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection
Amato G, Chávez E, Connor R, Falchi F, Gennaro C & Vadicamo L (2018) Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. In: Marchand-Maillet S, Silva YN & Chavez E (eds.) 11th International Conference on Similarity Search and Applications, SISAP 2018. Lecture Notes in Computer Science, 11223. SISAP 2018: International Conference on Similarity Search and Applications, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer Verlag, pp. 3-17. https://doi.org/10.1007/978-3-030-02224-2_1
Conference Paper (published)
Querying Metric Spaces with Bit Operations
Connor R & Dearle A (2018) Querying Metric Spaces with Bit Operations. In: Similarity Search and Applications. SISAP 2018. Lecture Notes in Computer Science, 11223. 11th International Conference on Similarity Search and Applications - SISAP 2018, Lima, Peru, 07.10.2018-09.10.2018. Cham, Switzerland: Springer, pp. 33-46. https://doi.org/10.1007/978-3-030-02224-2_3
Conference Paper (published)
Fake News Identification on Twitter with Hybrid CNN and RNN Models
Ajao O, Bhowmik D & Zargari S (2018) Fake News Identification on Twitter with Hybrid CNN and RNN Models. In: SMSociety '18 Proceedings of the 9th International Conference on Social Media and Society. International Conference on Social Media and Society - SMSociety '18, 18.07.2018-20.07.2018. Copenhagen, Denmark: ACM Press, pp. 226-230. https://doi.org/10.1145/3217804.3217917
Conference Paper (published)
The JPEG-Blockchain Framework for GLAM Services
Bhowmik D, Natu A, Ishikawa T, Feng T & Abhayaratne C (2018) The JPEG-Blockchain Framework for GLAM Services. In: 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE International Conference on Multimedia and Expo (ICME) workshop on Privacy Issues in Multimedia, 23.07.2018-27.07.2018. San Diego, USA: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICMEW.2018.8551519
Article
A multicriteria resource allocation model for the redesign of services following birth
Bowers J, Cheyne H, Mould G, Miller M, Page M, Harris F & Bick D (2018) A multicriteria resource allocation model for the redesign of services following birth. BMC Health Services Research, 18 (1), Art. No.: 656. https://doi.org/10.1186/s12913-018-3430-1
Article
Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis
Mavragani A & Ochoa G (2018) Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data, 5 (1), Art. No.: 30. https://doi.org/10.1186/s40537-018-0140-9
Conference Paper (published)
Perturbation strength and the global structure of qap fitness landscapes
Ochoa G & Herrmann S (2018) Perturbation strength and the global structure of qap fitness landscapes. In: Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. PPSN 2018: International Conference on Parallel Problem Solving from Nature, Coimbra, Portugal, 08.09.2018-12.09.2018. Cham, Switzerland: Springer Verlag, pp. 245-256. https://doi.org/10.1007/978-3-319-99259-4_20
Conference Paper (published)
Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning
Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 209-210. https://doi.org/10.1145/3205651.3205747
Conference Paper (published)
Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features
Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features. In: Proceedings of GECCO 2018. Genetic and Evolutionary Computation Conference 2018, 15.07.2018-19.07.2018. New York: ACM, pp. 135-136. https://doi.org/10.1145/3205651.3205748
Conference Paper (published)
A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing
Brownlee A, Woodward JR, Weiszer M & Chen J (2018) A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. GECCO 2018: The 2018 conference on Genetic and Evolutionary Computation, Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 1207-1213. http://gecco-2018.sigevo.org/index.html/tiki-index.php?page=HomePage; https://doi.org/10.1145/3205455.3205558
Conference Paper (published)
Multifractality and Dimensional Determinism in Local Optima Networks
Thomson S, Verel S, Ochoa G, Veerapen N & Cairns D (2018) Multifractality and Dimensional Determinism in Local Optima Networks. In: Proceedings of the Genetic and Evolutionary Computation Conference 2018. 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, 15.07.2018-19.07.2018. New York: ACM, pp. 371-378. http://gecco-2018.sigevo.org; https://doi.org/10.1145/3205455.3205472
Conference Paper (published)
On the Fractal Nature of Local Optima Networks
Thomson SL, Verel S, Ochoa G, Veerapen N & McMenemy P (2018) On the Fractal Nature of Local Optima Networks. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018.. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 18-33. https://doi.org/10.1007/978-3-319-77449-7_2
Conference Paper (published)
How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes
McMenemy P, Veerapen N & Ochoa G (2018) How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes. In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 34-49. https://doi.org/10.1007/978-3-319-77449-7_3
Article
Forecasting AIDS prevalence in the United States using online search traffic data
Mavragani A & Ochoa G (2018) Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data, 5 (1), Art. No.: 17. https://doi.org/10.1186/s40537-018-0126-7
Conference Paper (published)
Area-Energy Aware Dataflow Optimisation of Visual Tracking Systems
Garcia P, Bhowmik D, Wallace A, Stewart R & Michaelson G (2018) Area-Energy Aware Dataflow Optimisation of Visual Tracking Systems. In: Voros N, Huebner M, Keramidas G, Goehringer D, Antonopoulos C & Diniz P (eds.) Applied Reconfigurable Computing. Architectures, Tools, and Applications. Lecture Notes in Computer Science, 10824. ARC 2018: International Symposium on Applied Reconfigurable Computing, Santorini, Greece, 02.05.2018-04.05.2018. Cham, Switzerland: Springer International Publishing, pp. 523-536. https://doi.org/10.1007/978-3-319-78890-6_42
Conference Paper (published)
Embedded Vision Systems: A Review of the Literature
Bhowmik D & Appiah K (2018) Embedded Vision Systems: A Review of the Literature. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Lecture Notes in Computer Science, 10824. International Symposium on Applied Reconfigurable Computing ARC 2018, Santorini, Greece, 02.05.2018-04.05.2018. Cham, Switzerland: Springer International Publishing, pp. 204-216. https://doi.org/10.1007/978-3-319-78890-6_17
Conference Paper (published)
Evolving training sets for improved transfer learning in brain computer interfaces
Adair J, Brownlee A, Daolio F & Ochoa G (2018) Evolving training sets for improved transfer learning in brain computer interfaces. In: Nicosia G, Pardalos P, Giuffrida G & Umeton R (eds.) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, 10710. MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14.09.2017-17.09.2017. Cham, Switzerland: Springer, pp. 186-197. https://link.springer.com/chapter/10.1007/978-3-319-72926-8_16; https://doi.org/10.1007/978-3-319-72926-8_16
Conference Paper (published)
Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces
Adair J, Brownlee A & Ochoa G (2018) Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. In: Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, 10784. EvoStar 2018, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 63-77. https://link.springer.com/chapter/10.1007/978-3-319-77538-8_5; https://doi.org/10.1007/978-3-319-77538-8_5
Article
Living at home after emergency hospital admission: prospective cohort study in older adults with and without cognitive spectrum disorder
Burton JK, Guthrie B, Hapca SM, Cvoro V, Donnan PT & Reynish EL (2018) Living at home after emergency hospital admission: prospective cohort study in older adults with and without cognitive spectrum disorder. BMC Medicine, 16 (1), Art. No.: 231. https://doi.org/10.1186/s12916-018-1199-z
Article
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review
Mavragani A, Ochoa G & Tsagarakis KP (2018) Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. JMIR, 20 (11), Art. No.: e270. https://doi.org/10.2196/jmir.9366
Article
Mortality in people with dementia, delirium, and unspecified cognitive impairment in the general hospital: prospective cohort study of 6,724 patients with 2 years follow-up
Hapca S, Guthrie B, Cvoro V, Bu F, Rutherford A, Reynish E & Donnan PT (2018) Mortality in people with dementia, delirium, and unspecified cognitive impairment in the general hospital: prospective cohort study of 6,724 patients with 2 years follow-up. Clinical Epidemiology, 10, pp. 1743-1753. https://doi.org/10.2147/clep.s174807
Conference Paper (published)
Content-Aware Tweet Location Inference Using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding
Ajao O, Bhowmik D & Zargari S (2018) Content-Aware Tweet Location Inference Using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 28.08.2018-31.08.2018. Piscataway, NJ, USA: IEEE, pp. 1116-1123. https://doi.org/10.1109/asonam.2018.8508257
Article
Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study
Veerapen N & Ochoa G (2018) Visualising the Global Structure of Search Landscapes: Genetic Improvement as a Case Study. Genetic Programming and Evolvable Machines, 19 (3, Special Issue: SI), pp. 317-349. https://doi.org/10.1007/s10710-018-9328-1
Article
Texting to Reduce Alcohol Misuse (TRAM): main findings from a randomized controlled trial of a text message intervention to reduce binge drinking among disadvantaged men
Crombie IK, Irvine L, Williams B, Sniehotta FF, Petrie D, Jones C, Norrie J, Evans JMM, Emslie C, Rice PM, Slane PW, Humphris G, Ricketts IW, Melson AJ, Donnan PT & Hapca SM (2018) Texting to Reduce Alcohol Misuse (TRAM): main findings from a randomized controlled trial of a text message intervention to reduce binge drinking among disadvantaged men. Addiction, 113 (9), pp. 1609-1618. https://doi.org/10.1111/add.14229
Article
Exploiting ConvNet Diversity for Flooding Identification
Nogueira K, Fadel SG, Dourado IC, Werneck RdO, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RdS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15 (9), pp. 1446-1450. https://doi.org/10.1109/lgrs.2018.2845549
Conference Paper (published)
Statistical T+2d Subband Modelling for Crowd Counting
Bhowmik D & Wallace A (2018) Statistical T+2d Subband Modelling for Crowd Counting. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15.04.2018-20.04.2018. Calgary, Canada: IEEE, pp. 1533-1537. https://doi.org/10.1109/icassp.2018.8462345
Edited Proceedings
Mobile support for adults with mild learning disabilities during clinical consultations
(2018) Mobile support for adults with mild learning disabilities during clinical consultations. MobileHCI '18: 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona Spain, 03.09.2018-06.09.2018. ACM. https://doi.org/10.1145/3229434.3229469
Conference Abstract
P06-3 - Using machine learning for predicting severe postoperative complications after cardiac surgery
Lapp L, Young D, Kavanagh K, Bouamrane M & Schraag S (2018) P06-3 - Using machine learning for predicting severe postoperative complications after cardiac surgery. Journal of Cardiothoracic and Vascular Anesthesia, 32 (Supplement 1), pp. S84-S85. https://doi.org/10.1053/j.jvca.2018.08.156
Article
Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments
Baisa NL, Bhowmik D & Wallace A (2018) Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments. Journal of Visual Communication and Image Representation, 55, pp. 464-476. https://doi.org/10.1016/j.jvcir.2018.06.027
Article
Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain
Baveye PC, Otten W, Kravchenko A, Balseiro-Romero M, Beckers E, Chalhoub M, Darnault C, Eickhorst T, Garnier P, Hapca S, Kiranyaz S, Monga O, Mueller CW, Nunan N & Pot V (2018) Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain. Frontiers in Microbiology, 9, Art. No.: 1929. https://doi.org/10.3389/fmicb.2018.01929
Article
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation
Brownlee A, Weiszer M, Chen J, Ravizza S, Woodward JR & Burke EK (2018) A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Transportation Research Part C: Emerging Technologies, 92, pp. 150-175. https://doi.org/10.1016/j.trc.2018.04.020
Article
Mapping the global structure of TSP fitness landscapes
Ochoa G & Veerapen N (2018) Mapping the global structure of TSP fitness landscapes. Journal of Heuristics, 24 (3), pp. 265-294. https://doi.org/10.1007/s10732-017-9334-0
Conference Paper (published)
Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation
Haraldsson S, Brynjolfsdottir RD, Gudnason V, Tomasson K & Siggeirsdottir K (2018) Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation. In: EAIS 2018 proceedings. Evolving and Adaptive Intelligent Systems, Rhodes, Greece, 25.05.2018-27.05.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/EAIS.2018.8397182
Article
An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning
Zhang Y, Harman M, Ochoa G, Ruhe G & Brinkkemper S (2018) An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning. ACM Transactions on Software Engineering and Methodology, 27 (1), Art. No.: 3. https://doi.org/10.1145/3196831
Article
PageRank centrality for performance prediction: the impact of the local optima network model
Herrmann S, Ochoa G & Rothlauf F (2018) PageRank centrality for performance prediction: the impact of the local optima network model. Journal of Heuristics, 24 (3), pp. 243-264. https://doi.org/10.1007/s10732-017-9333-1
Technical Report
Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning (Detailed Experiments and Results)
Christie LA, Brownlee A & Woodward JR (2018) Investigating Benchmark Correlations when Comparing Algorithms with Parameter Tuning (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.
Technical Report
Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Detailed Experiments and Results)
Brownlee A, Woodward JR & Veerapen N (2018) Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Detailed Experiments and Results). Not applicable. Stirling: University of Stirling.
Article
RIPL: A Parallel Image Processing Language for FPGAs
Stewart R, Duncan K, Michaelson G, Garcia P, Bhowmik D & Wallace A (2018) RIPL: A Parallel Image Processing Language for FPGAs. ACM Transactions on Reconfigurable Technology and Systems, 11 (1), Art. No.: 7. https://doi.org/10.1145/3180481
Article
Replicable parallel branch and bound search
Archibald B, Maier P, McCreesh C, Stewart R & Trinder P (2018) Replicable parallel branch and bound search. Journal of Parallel and Distributed Computing, 113, pp. 92-114. https://doi.org/10.1016/j.jpdc.2017.10.010
Article
The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak
Mavragani A & Ochoa G (2018) The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak. Big Data and Cognitive Computing, 2 (1), Art. No.: 2. https://doi.org/10.3390/bdcc2010002
Book Chapter
Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling
Soria-Alcaraz JA, Ochoa G, Sotelo-Figeroa M, Carpio M & Puga H (2017) Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling. In: Melin P, Castillo O & Kacprzyk J (eds.) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, 667. Cham, Switzerland: Springer, pp. 687-700. https://link.springer.com/chapter/10.1007/978-3-319-47054-2_45; https://doi.org/10.1007/978-3-319-47054-2_45
Conference Paper (published)
Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application
Haraldsson S, Woodward J, Brownlee A, Smith AV & Gudnason V (2017) Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1521-1528. https://doi.org/10.1145/3067695.3082526
Conference Paper (published)
Fixing bugs in your sleep: How genetic improvement became an overnight success
Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517
Conference Paper (published)
Comparing hyper-heuristics with blackboard systems
Graham K & Smith L (2017) Comparing hyper-heuristics with blackboard systems. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1141-1145. https://doi.org/10.1145/3067695.3082055
Conference Paper (published)
Shaping communities of local optima by perturbation strength
Herrmann S, Herrmann M, Ochoa G & Rothlauf F (2017) Shaping communities of local optima by perturbation strength. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 266-273. https://doi.org/10.1145/3071178.3071243
Conference Paper (published)
Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search
Chicano F, Whitley D, Ochoa G & Tinós R (2017) Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. In: GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 753-760. https://doi.org/10.1145/3071178.3071285
Conference Paper (published)
Modelling Genetic Improvement Landscapes with Local Optima Networks
Veerapen N, Daolio F & Ochoa G (2017) Modelling Genetic Improvement Landscapes with Local Optima Networks. In: Proceedings of GECCO '17 Conference Companion. Genetic Improvement Workshop 2017, Berlin, Germany, 15.07.2017-15.07.2017. New York: ACM, pp. 1543-1548. http://dx.doi.org/10.1145/3067695.3082518; https://doi.org/10.1145/3067695.3082518
Conference Paper (published)
The Effect of Landscape Funnels in QAPLIB Instances
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 1495-1500. https://doi.org/10.1145/3067695.3082512
Conference Paper (published)
Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes
Thomson S, Daolio F & Ochoa G (2017) Comparing Communities of Optima with Funnels in Combinatorial Fitness Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17). GECCO ’17: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: ACM, pp. 377-384. https://doi.org/10.1145/3071178.3071211
Conference Paper (published)
Visualising the Search Landscape of the Triangle Program
Langdon WB, Veerapen N & Ochoa G (2017) Visualising the Search Landscape of the Triangle Program. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) EuroGP 2017: Genetic Programming. Lecture Notes in Computer Science, 10196. The 20th European Conference on Genetic Programming (EuroGP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 96-113. https://doi.org/10.1007/978-3-319-55696-3_7
Conference Paper (published)
High-dimensional simplexes for supermetric search
Connor R, Vadicamo L & Rabitti F (2017) High-dimensional simplexes for supermetric search. In: Beecks C, Borutta F, Kröger P & Seidl T (eds.) Similarity Search and Applications. SISAP 2017. Lecture Notes in Computer Science, 10609. Similarity Search and Applications 10th International Conference, SISAP 2017, Munich, 04.10.2017-06.10.2017. Cham, Switzerland: Springer, pp. 96-109. https://doi.org/10.1007/978-3-319-68474-1_7
Book Chapter
A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale
McGee-Lennon M, Bouamrane M, Grieve E, O’Donnell CA, O’Connor S, Agbakoba R, Devlin AM, Barry S, Bikker A, Finch T & Mair FS (2017) A Flexible Toolkit for Evaluating Person-Centred Digital Health and Wellness at Scale. In: Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, Vol 482. Cham: Springer International Publishing, pp. 105-118. https://doi.org/10.1007/978-3-319-41652-6_11
Article
Formulation, stabilisation and encapsulation of bacteriophage for phage therapy
Malik DJ, Sokolov IJ, Vinner GK, Mancuso F, Cinquerrui S, Vladisavljevic GT, Clokie MRJ, Garton NJ, Stapley AGF & Kirpichnikova A (2017) Formulation, stabilisation and encapsulation of bacteriophage for phage therapy. Advances in Colloid and Interface Science, 249, pp. 100-133. https://doi.org/10.1016/j.cis.2017.05.014
Conference Paper (published)
The multimedia blockchain: A distributed and tamper-proof media transaction framework
Bhowmik D & Feng T (2017) The multimedia blockchain: A distributed and tamper-proof media transaction framework. In: 2017 22nd International Conference on Digital Signal Processing (DSP). 22nd International Conference on Digital Signal Processing (DSP), 23.08.2017-25.08.2017. London: IEEE. https://doi.org/10.1109/icdsp.2017.8096051
Conference Paper (published)
The strategic placement of mobile agents on a hexagonal graph using game theory
Plekhanova T, Gromova E, Gromov D, Blakeway S & Kirpichnikova A (2017) The strategic placement of mobile agents on a hexagonal graph using game theory. In: 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT). 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia-Herzegovina, 26.10.2017-28.10.2017. Piscataway, NJ, USA: IEEE, pp. 1-6. https://doi.org/10.1109/icat.2017.8171635
Conference Paper (published)
Power efficient dataflow design for a heterogeneous smart camera architecture
Bhowmik D, Garcia P, Wallace A, Stewart R & Michaelson G (2017) Power efficient dataflow design for a heterogeneous smart camera architecture. In: 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP). 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP), 27.09.2017-29.09.2017. Dresden, Germany: IEEE. https://doi.org/10.1109/dasip.2017.8122128
Article
Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification
Cibati A, Foereid B, Bissessur A & Hapca S (2017) Assessment of Miscanthus × giganteus derived biochar as copper and zinc adsorbent: Study of the effect of pyrolysis temperature, pH and hydrogen peroxide modification. Journal of Cleaner Production, 162, pp. 1285-1296. https://doi.org/10.1016/j.jclepro.2017.06.114
Article
Quantification of the pore size distribution of soils: Assessment of existing software using tomographic and synthetic 3D images
Houston A, Otten W, Falconer R, Monga O, Baveye P & Hapca S (2017) Quantification of the pore size distribution of soils: Assessment of existing software using tomographic and synthetic 3D images. Geoderma, 299, pp. 73-82. https://doi.org/10.1016/j.geoderma.2017.03.025
Article
A methodology for determining an effective subset of heuristics in selection hyper-heuristics
Soria-Alcaraz JA, Ochoa G, Sotelo-Figeroa M & Burke EK (2017) A methodology for determining an effective subset of heuristics in selection hyper-heuristics. European Journal of Operational Research, 260 (3), pp. 972-983. https://doi.org/10.1016/j.ejor.2017.01.042
Article
Epidemiology and outcomes of people with dementia, delirium, and unspecified cognitive impairment in the general hospital: prospective cohort study of 10,014 admissions
Reynish E, Hapca SM, De Souza N, Cvoro V, Donnan PT & Guthrie B (2017) Epidemiology and outcomes of people with dementia, delirium, and unspecified cognitive impairment in the general hospital: prospective cohort study of 10,014 admissions. BMC Medicine, 15 (1), Art. No.: 140. https://doi.org/10.1186/s12916-017-0899-0
Conference Paper (published)
Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time
Hernando L, Daolio F, Veerapen N & Ochoa G (2017) Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time. In: 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation 2017, San Sebastián, Spain, 05.06.2017-08.06.2017. Piscataway, NJ, USA: IEEE, pp. 1964-1971. https://doi.org/10.1109/CEC.2017.7969541
Edited Proceedings
Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley
(2017) Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley. DH '17: International Conference on Digital Health, London United Kingdom, 02.07.2017-05.07.2017. ACM. https://doi.org/10.1145/3079452.3079481
Article
Search-based energy optimization of some ubiquitous algorithms
Brownlee A, Burles N & Swan J (2017) Search-based energy optimization of some ubiquitous algorithms. IEEE Transactions on Emerging Topics in Computational Intelligence, 1 (3), pp. 188-201. https://doi.org/10.1109/TETCI.2017.2699193
Article
Profile Guided Dataflow Transformation for FPGAs and CPUs
Stewart R, Bhowmik D, Wallace A & Michaelson G (2017) Profile Guided Dataflow Transformation for FPGAs and CPUs. Journal of Signal Processing Systems, 87 (1), pp. 3-20. https://doi.org/10.1007/s11265-015-1044-y
Conference Paper (published)
Exploring Fitness and Edit Distance of Mutated Python Programs
Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2
Conference Paper (published)
Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study
Ochoa G, Veerapen N, Daolio F & Tomassini M (2017) Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study. In: Bin H & Lopez-Ibanez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2017. Lecture Notes in Computer Science, 10197. 17th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-55453-2_16
Article
Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom
Lennon MR, Bouamrane M, Devlin AM, O'Connor S, O'Donnell C, Chetty U, Agbakoba R, Bikker A, Grieve E, Finch T, Watson N, Wyke S & Mair FS (2017) Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom. Journal of Medical Internet Research, 19 (2), Art. No.: e42. https://doi.org/10.2196/jmir.6900
Article
Towards better exploiting convolutional neural networks for remote sensing scene classification
Nogueira K, Penatti OAB & dos Santos JA (2017) Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. https://doi.org/10.1016/j.patcog.2016.07.001
Other
Hyper-parameter tuning to improve existing software
Brownlee A (2017) Hyper-parameter tuning to improve existing software. [Video] 31.01.2017. http://crest.cs.ucl.ac.uk/cow/50/videos/brownlee_cow50_720p.mp4
Conference Paper (published)
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
Wu X, Consoli P, Minku L, Ochoa G & Yao X (2016) An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. In: Handl J, Hart E, Lewis P, Lopez-Ibanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature - PPSN XIV. Lecture Notes in Computer Science, 9921. International Conference on Parallel Problem Solving from Nature 2016: PPSN XIV, Edinburgh, 17.09.2016-21.09.2017. Cham, Switzerland: Springer Verlag, pp. 37-47. https://doi.org/10.1007/978-3-319-45823-6_4
Conference Paper (published)
Coarse-Grained Barrier Trees of Fitness Landscapes
Herrmann S, Ochoa G & Rothlauf F (2016) Coarse-Grained Barrier Trees of Fitness Landscapes. In: Handl J, Hart E, Lewis P, LopezIbanez M, Ochoa G & Paechter B (eds.) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, 9921. PPSN2016: 14th International Conference on Parallel Problem Solving from Nature, Edinburgh, 17.09.2016-21.09.2016. Cham: Springer, pp. 901-910. https://doi.org/10.1007/978-3-319-45823-6_84
Conference Paper (published)
GP vs GI: if you can't beat them, join them
Woodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694
Conference Paper (published)
Evals is not enough: why we should report wall-clock time
Woodward J, Brownlee A & Johnson C (2016) Evals is not enough: why we should report wall-clock time. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1157-1158. https://doi.org/10.1145/2908961.2931695
Conference Paper (published)
Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming
Woodward J, Johnson C & Brownlee A (2016) Connecting automatic parameter tuning, genetic programming as a hyper-heuristic and genetic improvement programming. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. GECCO 2016: Genetic and Evolutionary Computation Conference, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1357-1358. https://doi.org/10.1145/2908961.2931728
Conference Paper (published)
Mining Markov Network Surrogates for Value-Added Optimisation
Brownlee A (2016) Mining Markov Network Surrogates for Value-Added Optimisation. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference GECCO’16, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1267-1274. https://doi.org/10.1145/2908961.2931711
Conference Paper (published)
Additional Dimensions to the Study of Funnels in Combinatorial Landscapes
Ochoa G & Veerapen N (2016) Additional Dimensions to the Study of Funnels in Combinatorial Landscapes. In: GECCO '16 Proceedings of the 2016 Genetic and Evolutionary Computation Conference 2016. The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado, USA, 20.07.2016-24.07.2016. New York, NY, USA: ACM, pp. 373-380. http://dl.acm.org/citation.cfm?id=2908820&CFID=827599008&CFTOKEN=74602334; https://doi.org/10.1145/2908812.2908820
Conference Paper (published)
The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
Ochoa G, Veerapen N, Whitley D & Burke E (2016) The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration. In: Bonnevay S, Legrand P, Monmarché N, Lutton E & Schoenauer M (eds.) Artificial Evolution: 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers. Lecture Notes in Computer Science, 9554. International Conference on Artificial Evolution (EA-2015), Lyon, France, 26.10.2015-28.10.2015. Cham, Switzerland: Springer, pp. 1-13. https://doi.org/10.1007/978-3-319-31471-6_1
