Chaotic grey wolf optimization algorithm for constrained optimization problems
Volume: 5, Issue: 4, Pages: 458 - 472
Published: Mar 7, 2017
Abstract
The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the chaos theory into the GWO algorithm with the aim of accelerating its global convergence speed. Firstly, detailed studies are carried out on thirteen standard constrained benchmark problems with ten different chaotic maps to find out the most efficient one. Then, the chaotic GWO is compared with...
Paper Details
Title
Chaotic grey wolf optimization algorithm for constrained optimization problems
Published Date
Mar 7, 2017
Volume
5
Issue
4
Pages
458 - 472
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