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一种新型改进遗传算法在优化中的应用
Feedback Mutation & Multi-Operator Evolution Algorithm and its Application in Optimization
【摘要】 以达尔文进化论为基础,提出一种新的基于实数编码的反馈式突变多算子遗传算法。实验结果表明该算法能够有效地改善标准遗传算法的性能,克服其早熟收敛的缺点,在计算过程中较好地达到全局优化的目的。
【Abstract】 A new real coding evolution algorithm is presented, which combines feedback mutation and multi-operator. Application examples show that the new genetic algorithm effectively improves the performance of simple genetic algorithm (SGA), solving its problems such as premature convergence, low precision, and reaching the goal of global optimization.
- 【文献出处】 测控技术 ,Measurement & Control Technology , 编辑部邮箱 ,2005年01期
- 【分类号】TP18
- 【被引频次】22
- 【下载频次】162