Hybrid Harmony Search Differential Evolution Algorithm

Hybrid Harmony Search Differential Evolution Algorithm

Differential evolution (DE) algorithm has some excellent attributes including strong exploration capability. However, it cannot balance the exploitation with exploration ability in the search process. To enhance the performance of the DE algorithm, this paper proposes a new algorithm named hybrid ha...

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Bibliographic Details
Main Authors: Liyun Fu, Houyao Zhu, Chengyun Zhang, Haibin Ouyang, Steven Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Design precision
hybrid algorithm
local optimization
new mutation operator
\hbox{self-adaptive} parameters
Online Access:https://ieeexplore.ieee.org/document/9340322/

Internet

https://ieeexplore.ieee.org/document/9340322/

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