Universiti Teknologi Malaysia Institutional Repository

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

Md. Esa, Md. Fadil and Mustaffa, Noorfa Haszlinna and Mohamed Radzi, Nor Haizan (2018) A hybrid algorithm based on flower pollination algorithm and electro search for global optimization. International Journal Of Innovative Computing, 8 (3). pp. 81-88. ISSN 2180-4370

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Official URL: http://dx.doi.org/10.11113/ijic.v8n3.216

Abstract

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.

Item Type:Article
Uncontrolled Keywords:hybrid, flower pollination algorithm, electron orbit algorithm, global optimization
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:82119
Deposited By: Yanti Mohd Shah
Deposited On:30 Sep 2019 09:00
Last Modified:30 Oct 2019 04:13

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