比较广为人知的一个学说是适应性突变(adaptive mutation)也可以叫主动突变,但是关于这方面的研究没有什么好的结果,许多实验都存在缺陷,没有很强的说服力。
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Adaptive mutation particle swarm optimization 应变异粒子群算法
adaptive mutation PSO 适应变异粒子群算法
adaptive mutation ga 自适应变异遗传算法
adaptive mutation rate 自适应变异概率
self-adaptive mutation 自适应变异
Chaos adaptive mutation 混沌自适应变异
hybrid adaptive mutation 混合自适应变异
adaptive mutation operator 自适应变异算子
Results compared with standard PSO algorithm and adaptive mutation PSO algorithm show that this algorithm can reduce the probability of optimizing which falls into local optimum, and it has strong optimization ability.
与标准PSO算法及自适应变异PSO算法的比较结果表明,该算法能降低在寻优过程中陷入局部最优的概率,具有较强的寻优能力。
参考来源 - 基于子区域的粒子群优化算法研究In this algorithm decimal coding (which is suit for multi-dimension search) is adopted, the arithmetic crossovering and adaptive mutation are also introduced.
该遗传算法采用十进制编码(更适合高维搜索),并且引入了遗传算法的最新思想——算术杂交思想和自适应变异思想。
参考来源 - 光纤拉曼放大器(FRA)的研究·2,447,543篇论文数据,部分数据来源于NoteExpress
The third chapter presents our research on real-code adaptive mutation operator based on the similitude between individuals.
第三章阐述了作者对基于个体间相似性变异算子以及自适应演化算法的研究。
A new adaptive mutation particle swarm optimizer (AMPSO), which is based on the variance of the population's fitness is presented.
本文提出了一种新的基于群体适应度方差自适应变异的粒子群优化算法(AMPSO)。
Genetic algorithms mimic Darwinian natural selection, where "fitness" selects individuals for survival, breeding, and, hence, adaptive mutation.
遗传算法模仿达尔文的自然选择,其中“适应性”选择进行生存、繁殖以及由此而来的适应性变异的个体。
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