Enhanced particle swarm optimization based on principal component analysis and line search

DOI10.1016/j.amc.2013.12.068zbMath1364.90377OpenAlexW2035624893MaRDI QIDQ530069

Wenqiao Lin, Qingfu Zhang, Xin-Chao Zhao

Publication date: 9 June 2017

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.068

zbMATH Keywords

principal component analysisswarm intelligenceline searchparticle swarm optimizationinformation accumulationvelocity diversity

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Search theory (90B40) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Enhanced comprehensive learning particle swarm optimization

Uses Software

• CEC 05

Cites Work

• Ectropy of diversity measures for populations in Euclidean space
• An improved global-best harmony search algorithm
• A review of particle swarm optimization. II: Hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
• Evolution strategies. A comprehensive introduction
• A comparative study of artificial bee colony algorithm
• Global and local real-coded genetic algorithms based on parent-centric crossover operators
• Introduction to the Theory of Nonlinear Optimization