A hybrid algorithm based on flower pollination algorithm and electro search for global optimization

• Main Authors: Md. Esa, Md. Fadil, Mustaffa, Noorfa Haszlinna, Mohamed Radzi, Nor Haizan
• Format: Article
• Published: Penerbit UTM Press 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/82119/; http://dx.doi.org/10.11113/ijic.v8n3.216
• Institution: Universiti Teknologi Malaysia

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.