\n \n \n
\n
\n \n 2023\n \n \n (5)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n \n A Scalable Test Suite for Bi-objective Multidisciplinary Optimization.\n \n \n \n \n\n\n \n Johnson, V.; Duro, J. A.; Kadirkamanathan, V.; and Purshouse, R. C.\n\n\n \n\n\n\n In
Evolutionary Multi-Criterion Optimization, pages 319–332, 2023. Springer Nature Switzerland\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:scalable_MDO_EMO_Johnson2013,\n author = {Victoria Johnson and Jo{\\~a}o A. Duro and Visakan Kadirkamanathan and Robin C. Purshouse},\n title = {A Scalable Test Suite for Bi-objective Multidisciplinary Optimization},\n booktitle = {Evolutionary Multi-Criterion Optimization},\n year = {2023},\n publisher = {Springer Nature Switzerland},\n pages = {319--332},\n doi = {10.1007/978-3-031-27250-9_23},\n url = {https://eprints.whiterose.ac.uk/195264/},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n \n Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem.\n \n \n \n \n\n\n \n Duro, J. A.; Ozturk, U. E.; Oara, D. C.; Salomon, S.; Lygoe, R. J.; Burke, R.; and Purshouse, R. C.\n\n\n \n\n\n\n
European Journal of Operational Research, 307(1): 421–446. 2023.\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@Article{bib:Bayesian_Constraints_EJOR_Duro2023,\n author = {Jo{\\~a}o A. Duro and Umud Esat Ozturk and Daniel C. Oara and Shaul Salomon and Robert J. Lygoe and Richard Burke and Robin C. Purshouse},\n title = {Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem},\n journal = {European Journal of Operational Research},\n year = {2023},\n volume = {307},\n number = {1},\n pages = {421--446},\n issn = {0377-2217},\n doi = {10.1016/j.ejor.2022.08.032},\n keywords = {Multiple objective programming, Bayesian optimization, Mixed continuous and discrete variables, Constraint handling, Gasoline engine},\n url = {https://www.sciencedirect.com/science/article/pii/S0377221722006774},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n \n Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems.\n \n \n \n \n\n\n \n Chugh, T.; Gaspar-Cunha, A.; Deutz, A. H.; Duro, J. A.; Oara, D. C.; and Rahat, A.\n\n\n \n\n\n\n In Brockhoff, D.; Emmerich, M.; Naujoks, B.; and Purshouse, R., editor(s),
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives, pages 241–267. Springer International Publishing, Cham, 2023.\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InCollection{bib:correlations2023,\n author = {Chugh, T. and Gaspar-Cunha, A. and Deutz, A. H. and Duro, J. A. and Oara, D. C. and Rahat, A.},\n title = {Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems},\n booktitle = {Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives},\n publisher = {Springer International Publishing},\n year = {2023},\n editor = {Brockhoff, Dimo and Emmerich, Michael and Naujoks, Boris and Purshouse, Robin},\n pages = {241--267},\n address = {Cham},\n isbn = {978-3-031-25263-1},\n doi = {10.1007/978-3-031-25263-1_9},\n url = {https://doi.org/10.1007/978-3-031-25263-1_9},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n \n A Distributed Multi-Disciplinary Design Optimization Benchmark Test Suite with Constraints and Multiple Conflicting Objectives.\n \n \n \n \n\n\n \n Johnson, V.; Duro, J.; Kadirkamanathan, V.; and Purshouse, R.\n\n\n \n\n\n\n In
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, of
GECCO '23 Companion, pages 1611-–1619, New York, NY, USA, 2023. Association for Computing Machinery\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@InProceedings{bib:distributedMDO_GECCO_Johnson2023,\n author = {Johnson, Victoria and Duro, Jo\\~{a}o and Kadirkamanathan, Visakan and Purshouse, Robin},\n title = {A Distributed Multi-Disciplinary Design Optimization Benchmark Test Suite with Constraints and Multiple Conflicting Objectives},\n booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation},\n year = {2023},\n series = {GECCO '23 Companion},\n pages = {1611-–1619},\n address = {New York, NY, USA},\n publisher = {Association for Computing Machinery},\n doi = {10.1145/3583133.3596414},\n isbn = {9798400701207},\n keywords = {multi-disciplinary design, collaborative optimization, constrained optimization},\n location = {Lisbon, Portugal},\n numpages = {9},\n url = {https://eprints.whiterose.ac.uk/201771/},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n \n Can social norms explain long-term trends in alcohol use? Insights from inverse generative social science.\n \n \n \n \n\n\n \n Vu, T. M.; Buckley, C.; Duro, J. A; Brennan, A.; Epstein, J. M; and Purshouse, R. C\n\n\n \n\n\n\n
Journal of Artificial Societies and Social Simulation, 26(2): 4. 2023.\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@Article{bib:social_norms_Tuong_2023,\n author = {Tuong Manh Vu and Charlotte Buckley and Jo{\\~a}o A Duro and Alan Brennan and Joshua M Epstein and Robin C Purshouse},\n title = {Can social norms explain long-term trends in alcohol use? Insights from inverse generative social science},\n journal = {Journal of Artificial Societies and Social Simulation},\n year = {2023},\n volume = {26},\n number = {2},\n pages = {4},\n doi = {10.18564/jasss.5077},\n url = {https://eprints.whiterose.ac.uk/198677/},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2022\n \n \n (2)\n \n \n
\n
\n \n \n
\n\n\n
\n
\n\n \n \n \n \n \n \n Exploring social theory integration in agent-based modelling using multi-objective grammatical evolution.\n \n \n \n \n\n\n \n Vu, T. M.; Buckley, C.; Duro, J. A.; and Purshouse, R. C.\n\n\n \n\n\n\n In
ICML 2022 Workshop AI for Agent-Based Modelling, 2022. \n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:vu2022exploring,\n author = {Tuong Manh Vu and Charlotte Buckley and Jo{\\~a}o A. Duro and Robin C. Purshouse},\n title = {Exploring social theory integration in agent-based modelling using multi-objective grammatical evolution},\n booktitle = {ICML 2022 Workshop AI for Agent-Based Modelling},\n year = {2022},\n url = {https://openreview.net/forum?id=-tRkY0I5dzv},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2021\n \n \n (2)\n \n \n
\n
\n \n \n
\n\n\n
\n
\n\n \n \n \n \n \n \n Component-Based Design of Multi-Objective Evolutionary Algorithms Using the Tigon Optimization Library.\n \n \n \n \n\n\n \n Duro, J. A.; Oara, D. C.; Sriwastava, A. K.; Yan, Y.; Salomon, S.; and Purshouse, R. C.\n\n\n \n\n\n\n In
Proceedings of the Genetic and Evolutionary Computation Conference, of
GECCO ’21, New York, NY, USA, 2021. ACM\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:tigonDuro2021,\n author = {Jo{\\~a}o A. Duro and Daniel C. Oara and Ambuj K. Sriwastava and Yiming Yan and Shaul Salomon and Robin C. Purshouse},\n title = {Component-Based Design of Multi-Objective Evolutionary Algorithms Using the Tigon Optimization Library},\n booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},\n year = {2021},\n series = {GECCO ’21},\n address = {New York, NY, USA},\n publisher = {ACM},\n doi = {10.1145/3449726.3463194},\n url = {http://eprints.whiterose.ac.uk/173896/},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2019\n \n \n (1)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n \n sParEGO – A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems.\n \n \n \n \n\n\n \n Duro, J. A.; Purshouse, R. C.; Salomon, S.; Oara, D. C.; Kadirkamanathan, V.; and Fleming, P. J.\n\n\n \n\n\n\n In Deb, K.; Goodman, E.; Coello Coello, C. A.; Klamroth, K.; Miettinen, K.; Mostaghim, S.; and Reed, P., editor(s),
Evolutionary Multi-Criterion Optimization, pages 424–438, Cham, 2019. Springer International Publishing\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:sParEGODuro2019,\n author = {Duro, Jo{\\~a}o A. and Purshouse, Robin C. and Salomon, Shaul and Oara, Daniel C. and Kadirkamanathan, Visakan and Fleming, Peter J.},\n title = {sParEGO -- A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems},\n booktitle = {Evolutionary Multi-Criterion Optimization},\n year = {2019},\n editor = {Deb, Kalyanmoy and Goodman, Erik and Coello Coello, Carlos A. and Klamroth, Kathrin and Miettinen, Kaisa and Mostaghim, Sanaz and Reed, Patrick},\n pages = {424--438},\n address = {Cham},\n publisher = {Springer International Publishing},\n doi = {10.1007/978-3-030-12598-1_34},\n isbn = {978-3-030-12598-1},\n url = {https://eprints.whiterose.ac.uk/174218/},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2018\n \n \n (2)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n Multi-objective optimization for distributed design of complex systems.\n \n \n \n\n\n \n Duro, J. A.\n\n\n \n\n\n\n In
EURO 2018: 29th European Conference on Operational Research, Valencia, Spain, 2018. \n
Steam: Multiobjective Optimization\n\n
\n\n
\n\n
\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:euroDuro2018,\n author = {Jo{\\~a}o A. Duro},\n title = {Multi-objective optimization for distributed design of complex systems},\n booktitle = {EURO 2018: 29th European Conference on Operational Research},\n year = {2018},\n address = {Valencia, Spain},\n note = {Steam: Multiobjective Optimization},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n \n Collaborative Multi-Objective Optimization for Distributed Design of Complex Products.\n \n \n \n \n\n\n \n Duro, J. A.; Yan, Y.; Purshouse, R. C.; and Fleming, P. J.\n\n\n \n\n\n\n In
Proceedings of the Genetic and Evolutionary Computation Conference, of
GECCO ’18, pages 625-–632, New York, NY, USA, 2018. ACM\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:geccoDuro2018,\n author = {Duro, Jo\\~{a}o A. and Yan, Yiming and Purshouse, Robin C. and Fleming, Peter J.},\n title = {Collaborative Multi-Objective Optimization for Distributed Design of Complex Products},\n booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},\n year = {2018},\n series = {GECCO ’18},\n pages = {625-–632},\n address = {New York, NY, USA},\n publisher = {ACM},\n doi = {10.1145/3205455.3205579},\n isbn = {9781450356183},\n location = {Kyoto, Japan},\n numpages = {8},\n url = {http://eprints.whiterose.ac.uk/129994/},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2017\n \n \n (1)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n \n Timing the Decision Support for Real-World Many-Objective Optimization Problems.\n \n \n \n \n\n\n \n Duro, J. A.; and Saxena, D. K.\n\n\n \n\n\n\n In Trautmann, H.; Rudolph, G.; Klamroth, K.; Schütze, O.; Wiecek, M.; Jin, Y.; and Grimme, C., editor(s),
Evolutionary Multi-Criterion Optimization, pages 191–205, Cham, 2017. Springer International Publishing\n
\n\n
\n\n
\n\n
\n\n \n \n
Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:EMODuro2017,\n author = {Duro, Jo{\\~a}o A. and Saxena, Dhish Kumar},\n title = {Timing the Decision Support for Real-World Many-Objective Optimization Problems},\n booktitle = {Evolutionary Multi-Criterion Optimization},\n year = {2017},\n editor = {Trautmann, Heike and Rudolph, G{\\"u}nter and Klamroth, Kathrin and Sch{\\"u}tze, Oliver and Wiecek, Margaret and Jin, Yaochu and Grimme, Christian},\n pages = {191--205},\n address = {Cham},\n publisher = {Springer International Publishing},\n doi = {10.1007/978-3-319-54157-0_14},\n isbn = {978-3-319-54157-0},\n url = {http://eprints.whiterose.ac.uk/167301/},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2016\n \n \n (2)\n \n \n
\n
\n \n \n
\n\n\n
\n
\n\n \n \n \n \n \n Multi-sensor data fusion framework for CNC machining monitoring.\n \n \n \n\n\n \n Duro, J. A.; Padget, J. A.; Bowen, C. R.; Kim, H. A.; and Nassehi, A.\n\n\n \n\n\n\n
Mechanical Systems and Signal Processing, 66-67: 505–520. 2016.\n
\n\n
\n\n
\n\n
\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@Article{bib:cncDuro2016,\n author = {Jo{\\~a}o A. Duro and Julian A. Padget and Chris R. Bowen and H. Alicia Kim and Aydin Nassehi},\n title = {Multi-sensor data fusion framework for {CNC} machining monitoring},\n journal = {Mechanical Systems and Signal Processing},\n year = {2016},\n volume = {66-67},\n pages = {505--520},\n issn = {0888-3270},\n doi = {10.1016/j.ymssp.2015.04.019},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2015\n \n \n (1)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n Topology Optimisation of Additively Manufactured Impact Resistant Structures.\n \n \n \n\n\n \n Kim, H. A.; Duro, J. A.; McShane, G. J.; and Theobald, P. S.\n\n\n \n\n\n\n In
Proceedings of the 23rd UK Conference of the Association for Computational Mechanics in Engineering, pages 315–318, 2015. \n
\n\n
\n\n
\n\n
\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:TOKim2015,\n author = {H. A. Kim and Jo{\\~a}o A. Duro and Graham J. McShane and Peter S. Theobald},\n title = {Topology Optimisation of Additively Manufactured Impact Resistant Structures},\n booktitle = {Proceedings of the 23rd UK Conference of the Association for Computational Mechanics in Engineering},\n year = {2015},\n pages = {315--318},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2014\n \n \n (1)\n \n \n
\n
\n
\n\n
\n
\n \n 2013\n \n \n (2)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms.\n \n \n \n\n\n \n Saxena, D. K.; Duro, J. A.; Tiwari, A.; Deb, K.; and Zhang, Q.\n\n\n \n\n\n\n
IEEE Transactions on Evolutionary Computation, 17(1): 77–99. 2013.\n
\n\n
\n\n
\n\n
\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@Article{bib:objReductionSaxena2013,\n author = {Dhish K. {Saxena} and Jo{\\~a}o A. {Duro} and A. {Tiwari} and K. {Deb} and Q. {Zhang}},\n title = {Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms},\n journal = {IEEE Transactions on Evolutionary Computation},\n year = {2013},\n volume = {17},\n number = {1},\n pages = {77--99},\n doi = {10.1109/TEVC.2012.2185847},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n
\n\n \n \n \n \n \n Identifying the redundant, and ranking the critical, constraints in practical optimization problems.\n \n \n \n\n\n \n Saxena, D.; Rubino, A.; Duro, J. A.; and Tiwari, A.\n\n\n \n\n\n\n
Engineering Optimization, 45(7): 787–809. 2013.\n
\n\n
\n\n
\n\n
\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@Article{doi:10.1080/0305215X.2012.709510,\n author = {Dhish Saxena and Alessandro Rubino and Jo{\\~a}o A. Duro and Ashutosh Tiwari},\n title = {Identifying the redundant, and ranking the critical, constraints in practical optimization problems},\n journal = {Engineering Optimization},\n year = {2013},\n volume = {45},\n number = {7},\n pages = {787--809},\n doi = {10.1080/0305215X.2012.709510},\n publisher = {Taylor \\& Francis},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2011\n \n \n (1)\n \n \n
\n
\n
\n\n
\n
\n \n 2009\n \n \n (1)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n Robots team tasks in the GUARDIANS project. Basic and emerging behaviours.\n \n \n \n\n\n \n Alboul, L.; Duro, J. A.; Penders, J.; and Saez-Pons, J.\n\n\n \n\n\n\n In
14th Int. Symposium on Robotics Research (ISRR09), Lucerne, Switzerland, 2009. \n
\n\n
\n\n
\n\n
\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:robotsAlboul2009,\n author = {L. Alboul and Jo{\\~a}o A. Duro and J. Penders and J. Saez-Pons},\n title = {Robots team tasks in the GUARDIANS project. Basic and emerging behaviours},\n booktitle = {14th Int. Symposium on Robotics Research (ISRR09)},\n year = {2009},\n address = {Lucerne, Switzerland},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n \n 2008\n \n \n (1)\n \n \n
\n
\n \n \n
\n
\n\n \n \n \n \n \n Particle swarm optimization applied to the chess game.\n \n \n \n\n\n \n Duro, J. A.; and de Oliveira , J. V.\n\n\n \n\n\n\n In
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pages 3702–3709, 2008. \n
\n\n
\n\n
\n\n
\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
\n
@InProceedings{bib:chessDuro2008,\n author = {Jo{\\~a}o A. {Duro} and J. V. {de Oliveira}},\n title = {Particle swarm optimization applied to the chess game},\n booktitle = {2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)},\n year = {2008},\n pages = {3702--3709},\n doi = {10.1109/CEC.2008.4631299},\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n