Abstract | ||
---|---|---|
•Gaussian mutation operator was introduced into FOA to avoid the premature convergence.•Chaotic local search method was adopted for enhancing the local search ability of FOA.•Extensive benchmark problems were used to verify the method. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.eswa.2019.112976 | Expert Systems with Applications |
Keywords | Field | DocType |
Fruit fly optimization algorithm,Chaotic local search,Gaussian mutation,Feature selection,Global optimization | Particle swarm optimization,Data mining,Swarm behaviour,Premature convergence,Bat algorithm,Feature selection,Computer science,Algorithm,Differential evolution,Gaussian,Chaotic | Journal |
Volume | ISSN | Citations |
141 | 0957-4174 | 24 |
PageRank | References | Authors |
0.46 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiang Zhang | 1 | 24 | 0.46 |
Yueting Xu | 2 | 24 | 0.46 |
Caiyang Yu | 3 | 27 | 1.15 |
Ali Asghar Heidari | 4 | 439 | 17.20 |
Shimin Li | 5 | 43 | 0.90 |
Huiling Chen | 6 | 402 | 28.49 |
Chengye Li | 7 | 138 | 6.88 |