A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the convergence rate and global optima search abilit...

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Vydáno v:	Advances in mechanical engineering Ročník 11; číslo 3
Hlavní autoři:	Zhu, Hao, Hu, Yumei, Zhu, Weidong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London, England SAGE Publications 01.03.2019 Sage Publications Ltd SAGE Publishing
Témata:	Adaptive algorithms Basic converters Constraints Convergence Crossovers Design engineering Design optimization Genetic algorithms Heuristic methods Mathematical analysis Mechanical engineering Mechanical engineering design Operators Optimization algorithms Particle swarm optimization Robustness (mathematics) Search process Constrained engineering design optimization problems meta-heuristic genetic algorithm dynamic adaptive particle swarm optimization continuous and discrete design variables
ISSN:	1687-8132, 1687-8140
On-line přístup:	Získat plný text
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