Global best harmony search algorithm with control parameters co-evolution based on PSO and its application to constrained optimal problems

DOI10.1016/j.amc.2013.03.111zbMath1290.90092OpenAlexW2122466916MaRDI QIDQ2016363

Xunhua Wang, Xuefeng Yan

Publication date: 20 June 2014

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

Full work available at URL: https://doi.org/10.1016/j.amc.2013.03.111

zbMATH Keywords

particle swarm optimizationharmony searchco-evolutionself-adaptive control parameter

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

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• An improved harmony search algorithm for solving optimization problems
• Novel derivative of harmony search algorithm for discrete design variables
• A self-adaptive global best harmony search algorithm for continuous optimization problems
• Global-best harmony search
• A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
• Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems

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