Name
Abstract | ||
|---|---|---|
Particle Swarm Optimization, a population based optimization technique has been used in wide number of application areas to solve optimization problems. This paper presents a new algorithm for initialization of population in standard PSO called Opposition based Particle Swarm Optimization (O-PSO). The performance of proposed initialization algorithm is compared with the existing PSO variants on several benchmark functions and the experimental results reveal that O-PSO outperforms existing approaches to a large extent. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1570256.1570274 | GECCO (Companion) |
Keywords | Field | DocType |
particle swarm optimization,optimization technique,existing pso variant,proposed initialization algorithm,benchmark function,optimization problem,new algorithm,application area,standard pso,initialization,swarm intelligence,optimization | Particle swarm optimization,Mathematical optimization,Derivative-free optimization,Computer science,Meta-optimization,Swarm intelligence,Multi-swarm optimization,Artificial intelligence,Initialization,Imperialist competitive algorithm,Machine learning,Metaheuristic | Conference |
Citations | PageRank | References |
27 | 0.91 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hajira Jabeen | 1 | 67 | 10.58 |
| Zunera Jalil | 2 | 38 | 3.33 |
| Abdul Rauf Baig | 3 | 126 | 15.82 |