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...

Full description

Bibliographic Details
Main Authors: Jorge Gálvez, Erik Cuevas, Krishna Gopal Dhal
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/8/6/934