Self-adaptive mix of particle swarm methodologies for constrained optimization

DOI10.1016/J.INS.2014.01.051zbMath1354.90175OpenAlexW2040943733MaRDI QIDQ506114

Ruhul A. Sarker, Saber M. Elsayed, Efrén Mezura-Montes

Publication date: 31 January 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.01.051

zbMATH Keywords

constrained optimizationparticle swarm optimizationensemble of operators

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Constrained self-adaptive genetic algorithm

Uses Software

• CEC 05

Cites Work

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• Cellular particle swarm optimization
• Self-adaptive learning based particle swarm optimization
• Adaptive fuzzy particle swarm optimization for global optimization of multimodal functions
• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• An efficient constraint handling method for genetic algorithms

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