• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Congress on Evolutionary Computation >Genetic Algorithm Assisted HIDMS-PSO: A New Hybrid Algorithm for Global Optimisation
【24h】

Genetic Algorithm Assisted HIDMS-PSO: A New Hybrid Algorithm for Global Optimisation

机译：遗传算法辅助HIDMS-PSO：一种新的全局优化混合算法

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

摘要

In this paper, a new hybrid algorithm, GA-HIDMS-PSO, is introduced by hybridising the state-of-the-art particle swarm optimisation (PSO) variant, the heterogeneous improved dynamic multi-swarm PSO (HIDMS-PSO) with a genetic algorithm (GA). The new hybrid model exploits the heterogeneous features of HIDMS-PSO and the evolutionary characteristics of the GA. In the GA-HIDMS-PSO architecture, HIDMS-PSO acts as the primary search engine, and the GA is employed as the secondary method to assist and slow down the loss of diversity for selected proportions of homogeneous and heterogeneous subpopulations of the HIDMS-PSO algorithm. Both methods run consecutively. As the primary search method, HIDMS-PSO runs for longer periods compared with the GA. The HIDMS-PSO pro-vides the initial solutions for the GA from both homogeneous and heterogeneous subpopulations and final solutions returned from the GA replace prior solutions in the HIDMS-PSO which resumes the search process with potentially more diverse particles to guide the swarm. The GA-HIDMS-PSO algorithm’s performance was tested on the 30 and 50 dimensional CEC’05 and CEC’17 test suites. The results were compared with 24 algorithms, with 12 state-of-the-art PSO variants and 12 other metaheuristics. GA-HIDMS-PSO outperformed all 24 comparison algorithms on both test suites for both 30 and 50 dimensions.
机译：本文通过杂交最先进的粒子群优化（PSO）变体，异构改进的动态多群PSO（HIDMS-PSO），引入了一种新的混合算法Ga-Hidms-PSO。遗传算法（GA）。新的混合模型利用HIDMS-PSO的异质特征和GA的进化特性。在GA-HIDMS-PSO架构中，HIDMS-PSO充当主要搜索引擎，并且GA被用作辅助方法，以帮助和减慢所选比例的HIDMS-PSO的均匀和异质亚群的多样性丧失算法。两种方法连续运行。作为主要搜索方法，与GA相比，HIDMS-PSO为更长的时间段。 HIDMS-PSO通过均匀和异构亚步骤和从GA替换的最终解决方案进行了初始解决方案，替换HIDMS-PSO中的先前解决方案，该解决方法具有潜在更多样化的粒子来引导群体。 GA-HIDMS-PSO算法的性能在30和50维CEC'05和CEC'17测试套件上进行了测试。将结果与24种算法进行比较，具有12个最先进的PSO变体和12个其他半导体。 GA-HIDMS-PSO在30和50尺寸的两个测试套件上表现出所有24个比较算法。

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