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《Computer Science》 2010-06
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Improved Virus-evolutionary Genetic Algorithm Based on Fauna Structure

GU Min YANG Feng (College of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)  
An improved virus-evolutionary genetic algorithm based on fauna structure was proposed in this paper.The host population is consisted of a father and several mothers and several bachelors.Crossover is occurred between the father and the mothers to produce offspring.Mutation is occurred among the bachelors to produce offspring.Virus is divided into big virus and small virus.In the previous iteration,big virus works and in the latter iteration,small virus works.The instances verified that the improved virus-evolutionary genetic algorithm outperforms the tradition virus-evo-lutionary genetic algorithm.
【Fund】: 国家自然科学基金课题(编号10876007)资助
【CateGory Index】: TP18
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