L-SHADE optimization algorithms with population-wide inertia

Volume: 468, Pages: 117 - 141
Published: Nov 1, 2018
Abstract
Numerous Differential Evolution algorithms (DE) have been proposed during last twenty years for numerical optimization problems. Recently a number of successful history-based adaptive DE variants with linear population size reduction (L-SHADE) have been considered among the most efficient Evolutionary Algorithms. Various L-SHADE algorithms become the winners of numerous IEEE CEC competitions. In this study we show that the performance of L-SHADE...
Paper Details
Title
L-SHADE optimization algorithms with population-wide inertia
Published Date
Nov 1, 2018
Volume
468
Pages
117 - 141
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