遗传算法计算过程中的自适应调节问题
首发时间:2006-08-10
摘要:本文主要是针对遗传算法中的自适应调节问题进行研究和改进,并且简单的介绍了遗传算法基础理论以及遗传算法在组合的优化问题等众多领域的应用。本文改进了自适应策略中的交换概率和突变概率的公式。经过实例的计算验证了改进的遗传算法在解决问题时是有效的,并且在多次进行中该改进的算法产生结果的结果多数都优于基本的遗传算法产生结果。
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Auto-adapted Adjustment Question In Genetic Algorithms Computation Process
Abstract:This paper mainly is research in the genetic algorithms the auto-adapted adjustment question and makes improvement, it simple introduction genetic algorithms basic theory. it improved in the auto-adapted strategy about crossover probability and the mutation probability. Has confirmed the improvement genetic algorithms after the instance computation when it is effective, and when carrying on many times, this improvement algorithm has the most result to surpass the basic genetic algorithms to have the result.
Keywords: auto-adapted genetic algorithms crossover filtering probability mutation filtering probability
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