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João A. Duro
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- affiliation: University of Sheffield, UK
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2020 – today
- 2023
- [j6]João A. Duro
, Umud Esat Ozturk, Daniel C. Oara
Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem. Eur. J. Oper. Res. 307(1): 421-446 (2023) - [j5]Tuong Manh Vu, Charlotte Buckley
Can Social Norms Explain Long-Term Trends in Alcohol Use? Insights from Inverse Generative Social Science. J. Artif. Soc. Soc. Simul. 26(2) (2023) - [c8]Victoria Johnson, João A. Duro
A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. EMO 2023: 319-332 - [c7]Victoria Johnson
A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. GECCO Companion 2023: 1611-1619 - [p1]Tinkle Chugh, António Gaspar-Cunha
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems. Many-Criteria Optimization and Decision Analysis 2023: 241-267 - 2022
- [c6]Victoria Johnson, João A. Duro
Toward scalable benchmark problems for multi-objective multidisciplinary optimization. SSCI 2022: 133-140 - 2021
- [j4]João A. Duro
Liger: A cross-platform open-source integrated optimization and decision-making environment. Appl. Soft Comput. 98: 106851 (2021) - [c5]João A. Duro
Component-based design of multi-objective evolutionary algorithms using the Tigon optimization library. GECCO Companion 2021: 1531-1539
2010 – 2019
- 2019
- [c4]João A. Duro
sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. EMO 2019: 424-438 - 2018
- [c3]João A. Duro
Collaborative multi-objective optimization for distributed design of complex products. GECCO 2018: 625-632 - 2017
- [c2]João A. Duro
Timing the Decision Support for Real-World Many-Objective Optimization Problems. EMO 2017: 191-205 - 2016
- [j3]Dhish Kumar Saxena, Arnab Sinha, João A. Duro
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(4): 485-498 (2016) - 2014
- [j2]João A. Duro
Machine learning based decision support for many-objective optimization problems. Neurocomputing 146: 30-47 (2014) - 2013
- [j1]Dhish Kumar Saxena, João A. Duro
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17(1): 77-99 (2013) - 2011
- [c1]Dhish Kumar Saxena, Qingfu Zhang
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO 2011: 197-211
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