Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
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Title
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
Authors
Keywords
Meta-heuristics, Optimization, Particle Swarm Optimization (PSO), Parameter adaption, Parameter tuning, Neighborhood topology, Fitness landscape analysis, Complex optimization problems, Large-scale optimization, Constrained Optimization Problems (COPs), Multi-objective Optimization Problems (MOPs), Multimodal optimization, Surrogate-assisted optimization, Computationally expensive optimization, Ensembles, Bare-bones optimization, Rough optimization, Quantum-behaved optimization, Hyper-heuristics, Parallelized optimization, Real-world applications
Journal
Swarm and Evolutionary Computation
Volume -, Issue -, Pages 100868
Publisher
Elsevier BV
Online
2021-03-09
DOI
10.1016/j.swevo.2021.100868
References
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