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1篇 您的检索式：作者名="HOU Kuolin"

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		题名	作者	年代	出处	被引量
	1	An Improved Cuckoo Search Algorithm for Multi-Objective Optimization显示文摘The recently proposed Cuckoo search algorithm is an evolutionary algorithm based on probability. It surpasses other algorithms in solving the multi-modal discontinuous and nonlinear problems. Searches made by it are very efficient because it adopts Levy flight to carry out random walks. This paper proposes an improved version of cuckoo search for multi-objective problems(IMOCS). Combined with nondominated sorting, crowding distance and Levy flights, elitism strategy is applied to improve the algorithm. Then numerical studies are conducted to compare the algorithm with DEMO and NSGA-II against some benchmark test functions. Result shows that our improved cuckoo search algorithm convergences rapidly and performs efficienly.	TIAN Mingzheng HOU Kuolin WANG Zhaowei WAN Zhongping	2017	Wuhan University Journal of Natural Sciences2017，22，4：	2

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