• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>World Congress on Intelligent Control and Automation >Cultural Algorithm based on Adaptive Cauchy Mutated Particle Swarm Optimizer for High-Dimensional Function Optimization
【24h】

Cultural Algorithm based on Adaptive Cauchy Mutated Particle Swarm Optimizer for High-Dimensional Function Optimization

机译：基于Adaptive Cauchy突变粒子群优化器的培养算法，用于高维功能优化

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a novel cultural algorithm, in which an adaptive Cauchy mutated particle swarm optimizer (ACMPSO) is used as a population space; the Cauchy allows larger mutations and in this way producing more diversified individuals and covering more major space. The knowledge sources contained in the belief space are specifically designed according to the ACMPSO evolution features. Different Gaussian mutated knowledge sources are used to influence the variation operator of ACMPSO; Gaussian mutation is accomplished in accurate search of its nearest space for proximity exploration, and it performs better in small neighborhood. The simulation results of benchmark test functions show that the proposed algorithm has good optimization quality and searching efficiency, especially it is a promising way for complex functions optimization with high dimensions.
机译：本文提出了一种新颖的培养算法，其中适应性Cauchy突变粒子群优化器（ACMPSO）用作人口空间; Cauchy允许较大的突变，以这种方式产生更多样化的个体并覆盖更多的主要空间。信念空间中包含的知识来源是根据ACMPSO进化特征的专门设计。使用不同的高斯突变知识来源来影响ACMPSO的变异算子;高斯突变是在准确搜索其最近的近距离探索的空间的准确搜索，并且它在小区中表现更好。基准测试功能的仿真结果表明，该算法具有良好的优化质量和搜索效率，特别是对于具有高维度的复杂功能优化是一种有希望的方式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号