Yu Ben-gong

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The Immune Genetic Algorithm has add an identify board of antigen to Immune Algorithm, it effectively reduce evolving time and accelerate algorithm's constringency. To improve the situation of Immune Genetic Algorithm prone to plunge into local optimum It consult chaos Algorithm, increase chaos factor, so can make disturbances in the round of genetic(More)
The adaptive Immune genetic algorithm’s evolution speed is quick and the optimizing ability is unyielding, it’s a effective improvement of the standard genetic algorithm. But it still has the problem of easily falling into local optimum solution. The chaotic algorithm can carry out the ergodic character making a perturbation motion in a(More)
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