Recent publications
Article
Garza-Fabre, M, Handl, J & Knowles, J 2017, 'An improved and more scalable evolutionary approach to multiobjective clustering', IEEE Transactions on Evolutionary Computation, vol. PP, no. 99. https://doi.org/10.1109/TEVC.2017.2726341
Lyon, RJ, Stappers, BW, Cooper, S, Brooke, JM & Knowles, J 2016, 'Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach', Royal Astronomical Society. Monthly Notices, vol. 459, no. 1, pp. 1104-1123. https://doi.org/10.1093/mnras/stw656
Garza-Fabre, M, Kandathil, S, Handl, J, Knowles, J & Lovell, S 2016, 'Generating, maintaining and exploiting diversity in a memetic algorithm for protein structure prediction', Evolutionary Computation, vol. 24, no. 4, pp. 577-607. https://doi.org/10.1162/EVCO_a_00176
Conference contribution
Caldwell, J, Knowles, J, Thies, C, Kubacki, F & Watson, R 2021, Deep optimisation: multi-scale evolution by inducing and searching in deep representations. in PA Castillo & JL Jiménez Laredo (eds), Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12694 LNCS, Springer, pp. 506-521, 24th International Conference on the Applications of Evolutionary Computation, EvoApplications 2021 held as Part of EvoStar 2021, Virtual, Online, 7/04/21. https://doi.org/10.1007/978-3-030-72699-7_32
Shavarani, SM, López-Ibáñez, M & Knowles, J 2021, Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. in F Chicano (ed.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery , pp. 457-465, 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Virtual, Online, France, 10/07/21. https://doi.org/10.1145/3449639.3459373
Miller, S & Knowles, J 2018, A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks. in P Andrews, L Caves, R Doursat, S Hickinbotham, F Polack, S Stepney, T Taylor & J Timmins (eds), Proceedings of the European Conference on Artificial Life 2015. MIT Press, pp. 114-121, European Conference on Artificial Life 2015, York, United Kingdom, 20/07/15. https://doi.org/10.7551/978-0-262-33027-5-ch026
Webb, AM, Handl, J & Knowles, J 2018, How Much Should You Select for Evolvability? in P Andrews, L Caves, R Doursat, S Hickinbotham, F Polack, S Stepney, T Taylor & J Timmis (eds), Proceedings of the European Conference on Artificial Life 2015. MIT Press, pp. 487-494, European Conference on Artificial Life 2015, York, United Kingdom, 20/07/15. https://doi.org/10.7551/978-0-262-33027-5-ch086
Garza-Fabre, M, Handl, J & Knowles, J 2017, A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. in Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Munster, Germany, March 19 - March 22, 2017, Proceedings. vol. 10173, Lecture Notes in Computer Science, Springer, pp. 236-251, 9th International Conference on Evolutionary Multi-Criterion Optimization, Munster, Germany, 19/03/17. https://doi.org/10.1007/978-3-319-54157-0_17
Hakanen, J & Knowles, J 2017, On using decision maker preferences with ParEGO. in Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Munster, Germany, March 19 - March 22, 2017, Proceedings. vol. 10173, Lecture Notes in Computer Science, Springer, pp. 282-297, 9th International Conference on Evolutionary Multi-Criterion Optimization, Munster, Germany, 19/03/17. https://doi.org/10.1007/978-3-319-54157-0_20
Shir, OM, Bäck, T, Knowles, J & Allmendinger, R 2017, Sequential experimentation by evolutionary algorithms. in GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery , pp. 828-851, 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017, Berlin, Germany, 15/07/17. https://doi.org/10.1145/3067695.3067701
Miller, S & Knowles, J 2016, Global network cooperation catalysed by a small prosocial migrant clique. in M Amos & A Condon (eds), Unconventional Computation and Natural Computation: 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016, Proceedings. Lecture Notes in Computer Science, vol. 9726, Springer, pp. 62-74, 15th International Conference on Unconventional Computation and Natural Computation (UCNC 2016), Manchester, United Kingdom, 11/07/16. https://doi.org/10.1007/978-3-319-41312-9_6
Michalak, K & Knowles, JD 2016, Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting. in G Squillero & P Burelli (eds), Applications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings, Part II. vol. LNCS 9598, Lecture Notes in Computer Science, vol. 9598, Springer, pp. 248-265, Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments (EVOSTOC 2016), Porto, Portugal, 30/03/16. https://doi.org/10.1007/978-3-319-31153-1_17
Miller, S & Knowles, J 2016, The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks. in Evolutionary Algorithms and Complex Systems (EVOCOMPLEX 2016): EvoWorkshops, Proceedings. Lecture Notes in Computer Science, vol. 9597, Springer, pp. 363-378, EVOCOMPLEX 2016, Porto, Portugal, 30/03/16. https://doi.org/10.1007/978-3-319-31204-0_24
Editorial
Greco, S, Klamroth, K, Knowles, J & Rudolph, G 2017, 'Editorial: Special Issue on Understanding Complexity in Multiobjective Optimization', Journal of Multi-Criteria Decision Analysis, vol. 24, no. 1-2, pp. 3-4. https://doi.org/10.1002/mcda.1609
Brockhoff, D, Knowles, J, Naujoks, B & Sindhya, K 2017, 'Special Issue on Evolutionary Multiobjective Optimization - Editorial', Computers & Operations Research, vol. 79, pp. 264-265. https://doi.org/10.1016/j.cor.2016.11.023
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