Efficient Chaotic Imperialist Competitive Algorithm with Dropout Strategy for Global Optimization

Efficient Chaotic Imperialist Competitive Algorithm with Dropout Strategy for Global Optimization

The imperialist competitive algorithm combined with chaos theory (CICA) demonstrates excellent performance in global optimization problems. However, its computational complexity increases with the introduction of chaotic maps. To address this, we integrate CICA with a dropout strategy that randomly...

Full description

Bibliographic Details
Main Authors: Zong-Sheng Wang, Jung Lee, Chang Geun Song, Sun-Jeong Kim
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Symmetry
Subjects:
optimization methods
chaos
evolutionary computation
iterative algorithms
path planning
imperialist competitive algorithm
Online Access:https://www.mdpi.com/2073-8994/12/4/635

Internet

https://www.mdpi.com/2073-8994/12/4/635

Similar Items