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《Information and Control》 2007-01
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A New Adaptive Immune Evolutionary Algorithm

HE Hong1,2,QIAN Feng1 (1.Institute of Automation,East China University of Science and Technology,Shanghai 200237,China;2.College of Mechanical and Electronic Engineering,Shanghai Normal University, Shanghai 201418,China)  
A new adaptive immune evolutionary algorithm(NAIEA) is proposed on the basis of the immune network regulating mechanism of biological immune system.The NAIEA adopts selection operation according to the stimulation level of each antibody.A memory base for good antibodies is devised simultaneously and an adaptive adjusting strategy of antibody population is used to keep the diversity of the evolutionary antibodies.The experiments show that the NAIEA has better convergence performance than the standard genetic algorithm and can effectively avoid premature convergence and prevent the loss of population diversity of genetic algorithm.
【Fund】: 国家杰出青年科学基金资助项目(60625302);; 国家973计划资助项目(2002CB3122000);; 国家863计划资助项目(20060104Z1081);; 上海市科委重大基础研究项目(05DJ14002);; 上海市自然科学基金资助项目(05ZR14038)
【CateGory Index】: TP301.6
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