An Improved Atom Search Optimization With Cellular Automata, a Lévy Flight and an Adaptive Weight Strategy

An Improved Atom Search Optimization With Cellular Automata, a Lévy Flight and an Adaptive Weight Strategy

Atom search optimization (ASO) is a newly developed metaheuristic algorithm inspired by molecular basis dynamics. The paramount challenge in ASO is that it is prone to stagnation in local optima and premature convergence. To solve these issues, this paper uses a cellular automata structure, a Le&...

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Bibliographic Details
Main Authors: Pu Sun, Yong Zhang, Jialun Liu, Jie Bi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Atom search optimization
evolutionary algorithms
cellular automata
L??vy flight
Online Access:https://ieeexplore.ieee.org/document/9031376/

Internet

https://ieeexplore.ieee.org/document/9031376/

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