A hybrid algorithm based on flower pollination algorithm and electro search for global optimization
In this paper, we have presented a new hybrid optimization method called hybrid Electro-Search algorithm (Eo) and Flower Pollination Optimization Algorithm (FPA) which introduces Eo to FPA. EO-FPA combines the merits of both Eo and FPA by designing on the local-search strategy from Eo and global-sea...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Penerbit UTM Press
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/82119/ http://dx.doi.org/10.11113/ijic.v8n3.216 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | In this paper, we have presented a new hybrid optimization method called hybrid Electro-Search algorithm (Eo) and Flower Pollination Optimization Algorithm (FPA) which introduces Eo to FPA. EO-FPA combines the merits of both Eo and FPA by designing on the local-search strategy from Eo and global-search strategy from FPA. The results of the experiments performed with twenty-two well-known benchmark functions show that the proposed algorithm possesses outstanding performance in statistical merit as compared to the original and variant FPA. It is proven that the EO-FPA algorithm requires better formulation to achieve efficiency and high performance to work out with global optimization problems. |
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