Name
Abstract | ||
|---|---|---|
In this paper, a novel multi-objective particle swarm optimization algorithm based on adaptive niche calculation method is presented. This proposed algorithm can automatically adjust the niche radius according to the distribution of the non-dominated solutions to solve the problem that niche radius is difficult to be specified in prior when niche technique is used. In addition, a mutation operator is incorporated to avoid premature convergence of the proposed algorithm. The algorithm is applied to several standard test functions and compared with some multi-objective evolution algorithms. Results indicate that the algorithm is of high efficiency and strong competitiveness. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICNC.2008.243 | ICNC |
Keywords | Field | DocType |
niche radius,high efficiency,non-dominated solution,evolutionary computation,novel multi-objective particle swarm,adaptive niche multi-objective particle,particle swarm optimisation,evolution algorithms,adaptive niche calculation method,optimization algorithm,proposed algorithm,niche technique,swarm optimization algorithm,mutation operator,multi-objective evolution algorithm,particle swarm optimization,algorithm design and analysis,premature convergence,reactive power,convergence,optimization,approximation algorithms | Convergence (routing),Computer science,Artificial intelligence,Population-based incremental learning,Particle swarm optimization,Approximation algorithm,Mathematical optimization,Algorithm design,Premature convergence,Algorithm,Evolutionary computation,Multi-swarm optimization,Machine learning | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3304-9 | 1 |
PageRank | References | Authors |
0.36 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yinghai Li | 1 | 42 | 5.70 |
| Jianzhong Zhou | 2 | 511 | 55.54 |
| Hui Qin | 3 | 144 | 15.35 |
| Youlin Lu | 4 | 111 | 9.33 |
| Junjie Yang | 5 | 52 | 15.05 |