Name
Title | ||
|---|---|---|
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments. |
Abstract | ||
|---|---|---|
•A collaborative mechanism is proposed to improve particle swarm optimization.•A worst-replacement scheme is proposed to update particles’ positions.•The trajectory of the best particle during optimizing is stored to an external archive.•The stored solutions estimate a promising optimal region in a new environment.•The proposed algorithm shows a competitive power in dynamic optimization problems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.11.020 | Expert Systems with Applications |
Keywords | Field | DocType |
Intelligent systems,Dynamic optimization,Particle swarm optimizer,Collaborative mechanism,History-guided estimation | Particle swarm optimization,Energy management,Data mining,Mathematical optimization,Job shop scheduling,Swarm behaviour,Intelligent decision support system,Electric vehicle,Computer science,Operator (computer programming),Optimization problem | Journal |
Volume | ISSN | Citations |
120 | 0957-4174 | 1 |
PageRank | References | Authors |
0.34 | 36 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leilei Cao | 1 | 31 | 2.78 |
| Lihong Xu | 2 | 344 | 36.70 |
| Erik Goodman | 3 | 145 | 15.19 |