Name
Title | ||
|---|---|---|
The performance measurement of a canonical particle swarm optimizer with diversive curiosity |
Abstract | ||
|---|---|---|
For improving the search performance of a canonical particle swarm optimizer (CPSO), we propose a newly canonical particle swarm optimizer with diversive curiosity (CPSO/DC) A crucial idea here is to introduce diversive curiosity into the CPSO to comprehensively manage the trade-off between exploitation and exploration for alleviating stagnation To demonstrate the effectiveness of the proposed method, computer experiments on a suite of five-dimensional benchmark problems are carried out We investigate the characteristics of the CPSO/DC, and compare the search performance with other methods The obtained results indicate that the search performance of the CPSO/DC is superior to that by EPSO, ECPSO and RGA/E, but is inferior to that by PSO/DC for the Griewank and Rastrigin problems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13495-1_3 | ICSI (1) |
Keywords | Field | DocType |
crucial idea,rastrigin problem,performance measurement,canonical particle swarm optimizer,search performance,five-dimensional benchmark problem,diversive curiosity,computer experiment,model selection | Computer experiment,Mathematical optimization,Curiosity,Computer science,Model selection,Performance measurement,Artificial intelligence,Particle swarm optimizer | Conference |
Volume | ISSN | ISBN |
6145 | 0302-9743 | 3-642-13494-7 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Zhang | 1 | 5 | 1.91 |
| Jie Zhang | 2 | 47 | 15.01 |