The Improvement of Fruit Fly Optimization Algorithm-Using Bivariable Function as Example

Abstract:

Optimization problems are always the hot issues in various research fields. The aim of this paper is to find the optimal value of the bivariable nonlinear function by means of the improved fruit fly optimization algorithm (G-FOA). Some better results are obtained. Compared with other algorithms, G-FOA is concise, can quickly find the global optimum with the high accuracy and without falling into local extremum. These advantages make the algorithm has good robustness and applicability.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2952-2957
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2952
• Online since: September 2013
• Authors: Fu Qiang Xu, You Tian Tao
• Keywords: Extremal Optimization, Fruit Fly Optimization Algorithm, Local Extremum

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