DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2017 ) | |||||||||
Paper Title |
An Enhanced Firefly Algorithm with a Partial Attraction Model | |||||||||
Author Name |
Lingyun Zhou, Maode Ma | |||||||||
Affilition |
Computer School, Wuhan University, Wuhan, Hubei 430072, China College of Computer Science, South-Central University for Nationalities, Wuhan, Hubei 430074, China School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore | |||||||||
Pages |
62-68 | |||||||||
Abstract |
Firefly algorithm (FA) is a new and powerful algorithm for optimization. However, it has the disadvantages of low convergence accuracy especially when solving complex problems. In this paper, an enhanced firefly algorithm is proposed by adopting a partial attraction model and a fast attractiveness calculation strategy. The partial attraction model can preserve swarm diversity and make full use of individual information. The fast attractiveness calculation strategy ensures the information sharing among the individuals and improves the convergence accuracy. The experimental results demonstrate the good performance of the proposed algorithm in terms of the solution accuracy. Index Terms - Firefly Algorithm, Partial Attraction Model, Fast Attractiveness Calculation, Optimization | |||||||||
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