Self-adaptive velocity particle swarm optimization for solving constrained optimization problems

DOI10.1007/s10898-007-9255-9zbMath1152.90670OpenAlexW2086826886MaRDI QIDQ934798

Haiyan Lu, Wei-qi Chen

Publication date: 30 July 2008

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-007-9255-9

zbMATH Keywords

Evolutionary algorithmsParticle swarm optimizationConstraint-handling mechanism

Mathematics Subject Classification ID

Nonlinear programming (90C30) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• Unnamed Item
• Recent approaches to global optimization problems through particle Swarm optimization
• An application of swarm optimization to nonlinear programming
• A collection of test problems for constrained global optimization algorithms
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Dynamic-objective particle swarm optimization for constrained optimization problems
• A comparative study on optimization methods for the constrained nonlinear programming problems
• Evolutionary Multi-Criterion Optimization

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