A generalized evolutionary metaheuristic (GEM) algorithm for engineering optimization

Many optimization problems in engineering and industrial design applications can be formulated as optimization problems with highly nonlinear objectives, subject to multiple complex constraints. Solving such optimization problems requires sophisticated algorithms and optimization techniques. A major...

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Veröffentlicht in:	Cogent engineering Jg. 11; H. 1
1. Verfasser:	Yang, Xin-She
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Cogent 31.12.2024 Taylor & Francis Ltd Taylor & Francis Group
Schlagworte:	Algorithm Algorithms Algorithms & Complexity Artificial Intelligence Computation derivative-free algorithm Design engineering Design optimization Dr Pham D T, Engineering, University of Birmingham, United Kingdom of Great Britain and Northern Ireland Evolutionary algorithms evolutionary computation Evolutionary Computing Heuristic methods metaheuristic nature-inspired computing optimization Optimization techniques swarm intelligence
ISSN:	2331-1916, 2331-1916
Online-Zugang:	Volltext
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