L-SHADE optimization algorithms with population-wide inertia

Volume: 468, Pages: 117 - 141
Published: Nov 1, 2018
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
L-SHADE optimization algorithms with population-wide inertia
Published Date
Nov 1, 2018
117 - 141
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.