A Mixed Ant Colony Algorithm for Problem of Function Optimization
| Autor: | Zhao Yu Bei, Yan Jun Luo |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Mathematical optimization
Meta-optimization Function optimization Computer science business.industry Ant colony optimization algorithms MathematicsofComputing_NUMERICALANALYSIS General Medicine Function (mathematics) ComputingMethodologies_ARTIFICIALINTELLIGENCE Swarm intelligence Parallel metaheuristic Artificial bee colony algorithm Local search (optimization) business Metaheuristic |
| Zdroj: | Applied Mechanics and Materials. :216-219 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.101-102.216 |
| Popis: | Ant colony algorithm has disadvantages such as long researching time and easily relapsing into local optimization. Artificial fish-swarm algorithm is presented to conquer the disadvantages. The combination of the two algorithms is applied in function optimization to overcome the limitation that the ant colony algorithm does not fit to solve continuous space optimization. The tested function shows the effect of the method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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