A New Improved Firefly Algorithm for Global Numerical Optimization

	A New Improved Firefly Algorithm for Global Numerical Optimization
	Wang G. G.; Guo L. H.; Duan H.; Wang H. Q.
	2014
发表期刊	Journal of Computational and Theoretical Nanoscience
ISSN	ISBN/1546-1955
卷号	11 期号:2 页码:477-485
摘要	A novel robust meta-heuristic optimization algorithm, which can be considered as an improvement of the recently developed firefly algorithm, is proposed to solve global numerical optimization problems. The improvement includes the addition of information exchange between the top fireflies, or the optimal solutions during the process of the light intensity updating. The detailed implementation procedure for this improved meta-heuristic method is also described. Standard benchmarking functions are applied to verify the effects of these improvements and it is illustrated that, in most situations, the performance of this improved firefly algorithm (IFA) is superior to or at least highly competitive with the standard firefly algorithm, a differential evolution method, a particle swarm optimizer, and a biogeography-based optimizer. Especially, this new method can accelerate the global convergence speed to the true global optimum while preserving the main feature of the basic FA.
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/43681
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang G. G.,Guo L. H.,Duan H.,et al. A New Improved Firefly Algorithm for Global Numerical Optimization[J]. Journal of Computational and Theoretical Nanoscience,2014,11(2):477-485.
APA	Wang G. G.,Guo L. H.,Duan H.,&Wang H. Q..(2014).A New Improved Firefly Algorithm for Global Numerical Optimization.Journal of Computational and Theoretical Nanoscience,11(2),477-485.
MLA	Wang G. G.,et al."A New Improved Firefly Algorithm for Global Numerical Optimization".Journal of Computational and Theoretical Nanoscience 11.2(2014):477-485.

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