A General Swarm Intelligence Model for Continuous Function Optimization
| Autor: | Heng Xiao, Satoru Iwasaki, Takeshi Uchitane, Toshiharu Hatanaka |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Continuous optimization
Mathematical optimization Computer simulation Computer science Differential equation MathematicsofComputing_NUMERICALANALYSIS Swarm behaviour 02 engineering and technology Swarm intelligence 020303 mechanical engineering & transports 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Multi-swarm optimization Cluster analysis Metaheuristic |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319687582 SEAL |
| Popis: | We consider a general form of the swarm intelligence as a function optimization tool. This form is derived from a basis of mathematical swarming differential equation model, where several parameters are included in the model. These parameters are corresponding to a repulsion effect, an attractive effect and a gradient direction. We mainly consider a repulsion effect and unknown gradient estimation in this study. The nature of the proposed model by some typical numerical simulation results is described. Then, the numerous simulation results show that the behaviors of the swarm will change significantly, for example, aggregation and clustering by parameter setting. We are able to see basic behaviors of the swarm intelligence by the introduced model, the model could give us the insight to understand search behavior of swarm intelligence. |
| Databáze: | OpenAIRE |
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