A Competitive Memory Paradigm for Multimodal Optimization Driven by Clustering and Chaos
Evolutionary Computation Methods (ECMs) are proposed as stochastic search methods to solve complex optimization problems where classical optimization methods are not suitable. Most of the proposed ECMs aim to find the global optimum for a given function. However, from a practical point of view, in e...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/6/934 |