Multi-objective Particle Swarm Optimization with Integrated Fireworks Algorithm and Size Double Archiving

Multi-objective Particle Swarm Optimization with Integrated Fireworks Algorithm and Size Double Archiving

Abstract The multi-objective particle swarm optimization (MOPSO) is an optimization technique that mimics the foraging behavior of birds to solve difficult optimization problems. MOPSO is well known for its strong global search capability, which efficiently locates solutions that are close to the gl...

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Bibliographic Details
Main Authors: Yansong Zhang, Yanmin Liu, Xiaoyan Zhang, Qian Song, Aijia Ouyang, Jie Yang
Format: Article
Language:English
Published: Springer 2025-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Multi-objective particle swarm optimization
Fireworks algorithm
Double archiving
Adaptive parameters
Online Access:https://doi.org/10.1007/s44196-024-00722-2
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