Zobrazeno 1 - 10
of 18
pro vyhledávání: '"João A. Duro"'
Autor:
Reis, João Pedro Duro, Kosinka, Jiří
Publikováno v:
In Computer-Aided Design July 2018 100:30-38
Autor:
João A. Duro, Umud Esat Ozturk, Daniel C. Oara, Shaul Salomon, Robert J. Lygoe, Richard Burke, Robin C. Purshouse
Publikováno v:
Duro, J A, Ozturk, U E, Oura, D C, Salomon, S, Lygoe, R J, Burke, R & Purhouse, R C 2023, ' Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem ', European Journal of Operational Research, vol. 307, no. 1, pp. 421-446 . https://doi.org/10.1016/j.ejor.2022.08.032
Engineering design optimization problems increasingly require computationally expensive high-fidelity simulation models to evaluate candidate designs. The evaluation budget may be small, limiting the effectiveness of conventional multi-objective evol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d2e6cb82dce9cebcbd29ba78d0f017a
https://purehost.bath.ac.uk/ws/files/246042959/J38_EJOR_D_20_03401_R2.pdf
https://purehost.bath.ac.uk/ws/files/246042959/J38_EJOR_D_20_03401_R2.pdf
Autor:
Tuong Manh Vu, Charlotte Buckley, João A. Duro, Alan Brennan, Joshua M. Epstein, Robin C. Purshouse
Publikováno v:
J Artif Soc Soc Simul
Social psychological theory posits entities and mechanisms that attempt to explain observable differences in behavior. For example, dual process theory suggests that an agent’s behavior is influenced by intentional (arising from reasoning involving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ade15fd36f88330c9975f47f978dea8
https://europepmc.org/articles/PMC10210583/
https://europepmc.org/articles/PMC10210583/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031272493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1491f4c1506b3ad31aa9a9d638d8077
https://doi.org/10.1007/978-3-031-27250-9_23
https://doi.org/10.1007/978-3-031-27250-9_23
Autor:
Daniel C. Oara, João A. Duro, Robin C. Purshouse, Ambuj Kumar Sriwastava, Shaul Salomon, Yiming Yan
Publikováno v:
GECCO Companion
Multi-objective optimization problems involve several conflicting objectives that have to be optimized simultaneously. Generating a complete Pareto-optimal front (POF) can be computationally expensive or even infeasible, and for that reason there has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293f0b0bfc4690e681e90564fa1e157e
https://doi.org/10.1145/3449726.3463194
https://doi.org/10.1145/3449726.3463194
Autor:
Jiri Kosinka, João Pedro Duro Reisa
Publikováno v:
Computer-Aided design, 100, 30-38. Elsevier
The free-form deformation (FFD) method deforms geometry in n -dimensional space by employing an n -variate function to deform (parts of) the ambient space. The original method pioneered by Sederberg and Parry in 1986 uses trivariate tensor-product Be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdf2498c81b0c43649c6f48ddbdb36a3
https://hdl.handle.net/11370/bea679fe-31ac-45e8-986f-9727f06b5f6b
https://hdl.handle.net/11370/bea679fe-31ac-45e8-986f-9727f06b5f6b
Publikováno v:
IEEE Transactions on Evolutionary Computation. 20:485-498
Multiobjective evolutionary algorithms evolve a population of solutions through successive generations toward the Pareto-optimal front (POF). One of the most critical questions faced by the researchers and practitioners in this domain relates to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9ac6b39a3daad524c2d70fec34b2a6
https://doi.org/10.1109/tevc.2015.2480780
https://doi.org/10.1109/tevc.2015.2480780
Autor:
João A. Duro, Stefanos Giagkiozis, Ioannis Giagkiozis, Robert J. Lygoe, Yiming Yan, Ambuj Kumar Sriwastava, Peter J. Fleming, Claire Freeman, Robin C. Purshouse, Daniel C. Oara, Shaul Salomon, Jacqui Morison
Publikováno v:
Applied Soft Computing. 98:106851
Real-world optimization problems involving multiple conflicting objectives are commonly best solved using multi-objective optimization as this provides decision-makers with a family of trade-off solutions. However, the complexity of using multi-objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2ee0606b959f80ef1f3306b95afc404
https://doi.org/10.1016/j.asoc.2020.106851
https://doi.org/10.1016/j.asoc.2020.106851
Autor:
João A. Duro, Robin C. Purshouse, Visakan Kadirkamanathan, Daniel C. Oara, Shaul Salomon, Peter J. Fleming
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030125974
EMO
EMO
Evaluations of candidate solutions to real-world problems are often expensive to compute, are characterised by uncertainties arising from multiple sources, and involve simultaneous consideration of multiple conflicting objectives. Here, the task of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9001d6e74aa6a9c5a5fc8500e9f2e60
https://doi.org/10.1007/978-3-030-12598-1_34
https://doi.org/10.1007/978-3-030-12598-1_34
Publikováno v:
GECCO
Multidisciplinary design optimization problems with competing objectives that involve several interacting components can be called complex systems. Nowadays, it is common to partition the optimization problem of a complex system into smaller subsyste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160a84344413376f4c2b65369d9f1348
https://doi.org/10.1145/3205455.3205579
https://doi.org/10.1145/3205455.3205579