Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Munoz, Mario Andres"'
Experimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to fully understand their strengths and weaknesses within a comprehensive po
Externí odkaz:
http://arxiv.org/abs/2408.14025
Surrogate modelling techniques have seen growing attention in recent years when applied to both modelling and optimisation of industrial design problems. These techniques are highly relevant when assessing the performance of a particular design carri
Externí odkaz:
http://arxiv.org/abs/2403.08118
Publikováno v:
IEEE Transactions on Software Engineering, 49(4), 2642-2660 (2022)
Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promising results and have been successfully applied in the industry to autom
Externí odkaz:
http://arxiv.org/abs/2312.02392
Autor:
Nikolikj, Ana, Džeroski, Sašo, Muñoz, Mario Andrés, Doerr, Carola, Korošec, Peter, Eftimov, Tome
In black-box optimization, it is essential to understand why an algorithm instance works on a set of problem instances while failing on others and provide explanations of its behavior. We propose a methodology for formulating an algorithm instance fo
Externí odkaz:
http://arxiv.org/abs/2306.00479
Publikováno v:
IEEE Transactions on Evolutionary Computation, 27(5)1427-1439, 2023
Multi-objective optimization problems with constraints (CMOPs) are generally considered more challenging than those without constraints. This in part can be attributed to the creation of infeasible regions generated by the constraint functions, and/o
Externí odkaz:
http://arxiv.org/abs/2203.00868
Publikováno v:
In International Journal of Electrical Power and Energy Systems July 2024 158
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In Computers and Operations Research March 2024 163
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In European Journal of Operational Research 16 January 2023 304(2):411-428
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In Applied Soft Computing Journal October 2021 110
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In Computers and Operations Research April 2021 128