Name
Title | ||
|---|---|---|
A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems |
Abstract | ||
|---|---|---|
•PSO parameters are ineffective to regenerate the awkward particle that cannot improve its pbest.•An external intervention is inevitable once a particle becomes an awkward one.•ScPSO is obtained with the addition of scout bee phase into the PSO.•So an evolutionary method eliminating the most important handicap of PSO is gained.•ScPSO is compared with the variants and with hybrid versions of PSO and ABC methods.•According to the experiments, ScPSO results in better optimal solutions.•The fitness values of ScPSO are generally more satisfactory than the others.•Consequently, ScPSO achieve promising gains over other optimization methods.•In parallel with this, its usage can be extended to different working disciplines. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jcde.2018.08.003 | Journal of Computational Design and Engineering |
Keywords | Field | DocType |
Scout particle swarm optimization,Numerical function optimization,Particle swarm optimization,Artificial bee colony optimization,Hybrid approach | Convergence (routing),Particle swarm optimization,Continuous function,Mathematical optimization,Robust optimization,Operator (computer programming),Engineering,Particle swarm algorithm,Genetic algorithm,Global optimization problem | Journal |
Volume | Issue | ISSN |
6 | 2 | 2288-4300 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasen Koyuncu | 1 | 14 | 4.84 |
| Rahime Ceylan | 2 | 259 | 17.10 |