Improved fireworks algorithm with information exchange for function optimization

The fireworks algorithm, which is inspired by the explosion of fireworks, is a new swarm-based meta-heuristic algorithm for global optimization. This work proposes an improved fireworks optimization algorithm (IFWA) based on the enhanced fireworks algorithm (EFWA). Three aspects of improvement are p...

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Veröffentlicht in:	Knowledge-based systems Jg. 163; S. 82 - 90
Hauptverfasser:	Cheng, Rong, Bai, Yanping, Zhao, Yu, Tan, Xiuhui, Xu, Ting
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.01.2019 Elsevier Science Ltd
Schlagworte:	Algorithms Automotive engineering Comparative advantage Competition Competitive advantage Control systems design Controllers Design engineering Design optimization Engineering Expert systems Fireworks Fireworks algorithm Function optimization Global optimization Heuristic Heuristic methods Information sharing LQR controller Optimization Optimization algorithms Suspension Swarm intelligence Fireworks algorithm Swarm intelligence Function optimization LQR controller
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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