Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy

Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy

Abstract Wind driven optimization (WDO) is a meta-heuristic algorithm based on swarm intelligence. The original selection method makes it easy to converge prematurely and trap in local optima. Maintaining population diversity can solve this problem well. Therefore, we introduce a new fitness-distanc...

Full description

Bibliographic Details
Main Authors: Zhentao Tang, Sichen Tao, Kaiyu Wang, Bo Lu, Yuki Todo, Shangce Gao
Format: Article
Language:English
Published: Springer 2022-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Wind driven optimization
Local optima
Fitness-distance balance selection method
Population diversity
Chaotic map
Chaotic local search
Online Access:https://doi.org/10.1007/s44196-022-00099-0

Internet

https://doi.org/10.1007/s44196-022-00099-0

Similar Items