Adaptive multi-objective particle swarm optimization using three-stage strategy with decomposition

DOI10.1007/S00500-021-06262-7zbMath1498.90211OpenAlexW3202010957MaRDI QIDQ2100485

Yanyan Li

Publication date: 22 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-021-06262-7

zbMATH Keywords

multi-objective optimizationdecompositionparticle swarm optimizationadaptivethree-stage strategy

Mathematics Subject Classification ID

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

Uses Software

• MOEA/D
• SPEA2
• MOPSO
• SMPSO

Cites Work

• A novel multi-objective particle swarm optimization with multiple search strategies
• Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
• On convergence of the multi-objective particle swarm optimizers
• An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection
• The arithmetic optimization algorithm

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