A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
Nanjing Normal University · Nanjing University
Abstract
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions…
Citation impact
- FWCI
- 101.06
- Percentile
- 100%
- References
- 344
Authors
3Topics & keywords
- Particle swarm optimization
- Metaheuristic
- Mathematical optimization
- Tabu search
- Computer science
- Multi-swarm optimization
- Simulated annealing
- Meta-optimization