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Abstract
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Article Information:
A Memetic Differential Evolution Algorithm with Adaptive Mutation Operator
Fuqing Zhao, Mingming Huo and Weijun Ma
Corresponding Author: Zhixiang Hou
Submitted: February 24, 2012
Accepted: April 08, 2012
Published: October 01, 2012 |
Abstract:
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Differential evolution algorithm has been widely used, because of its efficient optimization and no
complex operation and coding mechanism. But DE falls into the local optimum easily. So this study puts
forward a memetic algorithm. The algorithm can increase the diversity of population and jump out the local
extreme value point effectively. The convergence speed of the algorithm is improved, because of the selfadaptive
operator which can adjust the scaling factor adaptively. Three classic benchmarks functions are used
to evaluate the MMADE and basic differential evolution algorithm. The experimental results show that the
MMADE algorithm is effective.
Key words: DE, memetic algorithm, self-adaptive, , , ,
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Abstract
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Cite this Reference:
Fuqing Zhao, Mingming Huo and Weijun Ma, . A Memetic Differential Evolution Algorithm with Adaptive Mutation Operator. Research Journal of Applied Sciences, Engineering and Technology, (19): 3687-3691.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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