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作 者:刘云忠
机构地区:[1]Statistic School,Xi'an University of Finance and Economics
出 处:《Journal of Harbin Institute of Technology(New Series)》2010年第3期437-444,共8页哈尔滨工业大学学报(英文版)
摘 要:A novel genetic algorithm with multiple species in dynamic region is proposed,each of which occupies a dynamic region determined by the weight vector of a fuzzy adaptive Hamming neural network. Through learning and classification of genetic individuals in the evolutionary procedure,the neural network distributes multiple species into different regions of the search space. Furthermore,the neural network dynamically expands each search region or establishes new region for good offspring individuals to continuously keep the diversification of the genetic population. As a result,the premature problem inherent in genetic algorithm is alleviated and better tradeoff between the ability of exploration and exploitation can be obtained. The experimental results on the vehicle routing problem with time windows also show the good performance of the proposed genetic algorithm.A novel genetic algorithm with multiple species in dynamic region is proposed, each of which occupies a dynamic region determined by the weight vector of a fuzzy adaptive Hamming neural network. Through learning and classification of genetic individuals in the evolutionary procedure, the neural network distributes multiple spe- cies into different regions of the search space. Furthermore, the neural network dynamically expands each search region or establishes new region for good offspring individuals to continuously keep the diversification of the genetic population. As a result, the premature problem inherent in genetic algorithm is alleviated and better tradeoff between the ability of exploration and exploitation can be obtained. The experimental results on the vehicle routing problem with time windows also show the good performance of the proposed genetic algorithm.
关 键 词:genetic algorithm multiple species neural network premature problem vehicle routing problem with time windows
分 类 号:O221[理学—运筹学与控制论]
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