A modified firefly algorithm for global minimum optimization
| Autor: | Cemal Köse, Aref Yelghi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
education.field_of_study
Mathematical optimization Computer science 020209 energy Population 02 engineering and technology Function (mathematics) Field (computer science) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Firefly algorithm education Software |
| Zdroj: | Applied Soft Computing. 62:29-44 |
| ISSN: | 1568-4946 |
| Popis: | The Firefly algorithm is a population-based optimization algorithm. It has become popular in the field of optimization and has been applied to engineering practices. Recent works have failed to address how to find the global minimum because their algorithm was trapped in the local minimum. Also, they were not able to provide a balance between exploration and exploitation. In this paper, the Tidal Force formula has been applied to modify the Firefly algorithm, which describes the effect of a massive body that gravitationally affects another massive body. The proposed algorithm brings a new strategy into the optimization field. It is applied by using exploitation (Tidal Force) and keeping a balance between the exploration and exploitation on function suitability. Plate shaped, Steep Ridges, Unimodal and Multimodal benchmark functions were used to compare experimental results. The study findings indicate that the Tidal Force Firefly algorithm outperforms the other existing modified Firefly algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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