Title | ||
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A Hybrid Algorithm Based on Artificial Sheep Algorithm and Particle Swarm Optimization |
Abstract | ||
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A novel hybrid algorithm named HASA based on artificial sheep algorithm (ASA) and particle swarm optimization (PSO) is proposed. Three improvements are respectively employed in the initialization method and movement strategy, which include the initialization of the flock in opposition-based learning, a movement strategy inspired by PSO and a chaotic mutation operator. Sixteen benchmark functions are run on PSO, ASA and the improved ASA named HASA respectively. Test results show that the HASA has achieved significantly better performance than PSO and ASA. |
Year | DOI | Venue |
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2018 | 10.1109/ISCID.2018.10161 | 2018 11th International Symposium on Computational Intelligence and Design (ISCID) |
Keywords | Field | DocType |
Artificial Sheep Algorithm,Particle Swarm Optimization,Hybrid Algorithm,Chaotic Mutation,Opposition-based Learning | Particle swarm optimization,Hybrid algorithm,Opposition based learning,Computer science,Algorithm,Initialization,Chaotic,Mutation operator | Conference |
Volume | ISSN | ISBN |
02 | 2165-1701 | 978-1-5386-8528-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tan Ding | 1 | 0 | 0.68 |
Li Chang | 2 | 9 | 5.09 |
Chaoshun Li | 3 | 42 | 7.51 |
Chen Feng | 4 | 0 | 1.01 |