Multipopulation cooperative particle swarm optimization with a mixed mutation strategy

DOI10.1016/J.INS.2020.02.034zbMath1459.90228OpenAlexW3005728138MaRDI QIDQ2023254

Yanyan Li

Publication date: 3 May 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.02.034

zbMATH Keywords

particle swarm optimizationdifferential mutationdynamic segment-based mean learning strategymultidimensional comprehensive learning

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (4)

Optimization of facility location and size problem based on bi-level multi-objective programming ⋮ Many-objective evolutionary algorithm with adaptive reference vector ⋮ Three-learning strategy particle swarm algorithm for global optimization problems ⋮ A multi-sample particle swarm optimization algorithm based on electric field force

Uses Software

• CEC 05

Cites Work

• A social learning particle swarm optimization algorithm for scalable optimization
• A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints
• A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization
• Ranking-based biased learning swarm optimizer for large-scale optimization

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