Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems

As exact algorithms are unfeasible to solve real optimization problems, due to their computational complexity, meta-heuristics are usually used to solve them. However, choosing a meta-heuristic to solve a particular optimization problem is a non-trivial task, and often requires a time-consuming tria...

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Vydáno v:	Applied sciences Ročník 11; číslo 19; s. 9153
Hlavní autoři:	de Carvalho, Vinicius Renan, Özcan, Ender, Sichman, Jaime Simão
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.10.2021
Témata:	artificial intelligence Distance learning evolutionary algorithms Genetic algorithms Heuristic Mathematical functions meta-heuristics multi-objective optimization Mutation online algorithm selection Optimization
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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