On convergence of the multi-objective particle swarm optimizers

DOI10.1016/J.INS.2010.11.036zbMath1222.90051OpenAlexW2007506528MaRDI QIDQ543829

Gourab Ghosh Roy, Ajith Abraham, Swagatam Das, Prithwish Chakraborty

Publication date: 17 June 2011

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

Full work available at URL: https://doi.org/10.1016/j.ins.2010.11.036

zbMATH Keywords

\(Z\)-transformPareto optimalityevolutionary algorithmsPareto dominance

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• MOPSO
• SMPSO

Cites Work

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• Recent approaches to global optimization problems through particle Swarm optimization
• A review of particle swarm optimization. II: Hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• On the convergence of multiobjective evolutionary algorithms
• Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients
• A review of particle swarm optimization. I: Background and development
• A study of particle swarm optimization particle trajectories
• On the Velocity Update in Multi-Objective Particle Swarm Optimizers
• Evolutionary Algorithms for Solving Multi-Objective Problems

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