On the Analysis of Performance of the Artificial Searching Swarm Algorithm
| Autor: | Lingling Pang, Lijie Zhang, Tanggong Chen, Qunfang Shu, Zibin Liu |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Mathematical optimization
Meta-optimization Computer science business.industry MathematicsofComputing_NUMERICALANALYSIS Swarm behaviour Particle swarm optimization Swarm intelligence Evolutionary computation Genetic algorithm Algorithm design Artificial intelligence Multi-swarm optimization business Algorithm Global optimization |
| Zdroj: | ICNC (4) |
| DOI: | 10.1109/icnc.2009.162 |
| Popis: | Artificial Searching Swarm Algorithm (ASSA) is an optimization algorithm based on the simulation of bionic intelligent optimization algorithm. This work discusses the main factors which influence the performance of ASSA, and compares the performance of ASSA with that of genetic algorithm (GA), particle swarm optimization (PSO), and artificial fish-swarm algorithm (AFSA) for optimization multivariable functions. The simulation results show that ASSA outperforms the mentioned algorithms in global optimization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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