Nature-inspired approach: a wind-driven water wave optimization algorithm

The water wave optimization (WWO) based on shallow water wave theory is a new nature-inspired optimization algorithm that imitates wave motion to solve optimization problems. But basic WWO has some disadvantages, such as low calculation accuracy and falling easily into the local optimum. The WDO bas...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 49; H. 1; S. 233 - 252
Hauptverfasser:	Zhang, Jinzhong, Zhou, Yongquan, Luo, Qifang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2019 Springer Nature B.V
Schlagworte:	Air flow Algorithms Artificial Intelligence Computer Science Design engineering Machines Manufacturing Mathematical analysis Mechanical Engineering Optimization Optimization algorithms Processes Shallow water Water waves Wave propagation Waves Wind-driven optimization (WDO) Water wave optimization (WWO) Engineering design problems Benchmark test functions
ISSN:	0924-669X, 1573-7497
Online-Zugang:	Volltext
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