TAN Ying-zi, SHEN Jiong, L Zhen-zhong. STUDY OF IMMUNE-BASED OPTIMIZATION ALGORITHMAND ITS FUTURE DEVELOPMENT[J]. INFORMATION AND CONTROL, 2002, 31(5): 385-390.
Citation: TAN Ying-zi, SHEN Jiong, L Zhen-zhong. STUDY OF IMMUNE-BASED OPTIMIZATION ALGORITHMAND ITS FUTURE DEVELOPMENT[J]. INFORMATION AND CONTROL, 2002, 31(5): 385-390.

STUDY OF IMMUNE-BASED OPTIMIZATION ALGORITHMAND ITS FUTURE DEVELOPMENT

  • The diversity, adaptation and memory of the biological immune system are getting more interesting for the researchers. Several optimal algorithms based on immune system have been proposed. This paper discusses some immune-based optimization algorithms in detail. It points out that these methods are the combination of immune system information processing mechanism and genetic algorithm (GA). Finally some possible future research topics are proposed.
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