首页> 外文会议>International conference on swarm, evolutionary, and memetic computing >Ensemble of Dying Strategies Based Multi-objective Genetic Algorithm
【24h】

Ensemble of Dying Strategies Based Multi-objective Genetic Algorithm

机译:基于多目标遗传算法的垂死策略集合

获取原文

摘要

Excessive dying in nature causes reduction in diversity and leads to extinction of organism. In this work to avoid excessive dying we propose explicit dying strategies as part of Genetic Algorithm. A solution is removed from next generation population in a deterministic way by using dying strategy. Multi-objective Genetic Algorithm (MOGA) takes decision of removal of solution, based on one of these three strategies. Experiments were performed to show impact of dying of solutions and dying strategies on the performance of MOGA. Further to improve performance of MOGA an ensemble of dying strategy is proposed. Ensemble of Dying Strategy based MOGA (EDS-MOGA) has been implemented and its results show that ensemble of dying strategy has given better performance than MOGA with single dying strategy.
机译:过度死亡的性质导致多样性降低,导致有机体的灭绝。在这项工作中,避免过度染色,我们提出了作为遗传算法的一部分的明确染色策略。通过使用染色策略,以确定性的方式从下一代人口中除去解决方案。基于这三种策略之一,多目标遗传算法(MOGA)采用决定去除解决方案。进行实验表明枯竭溶解的影响和垂死策略对摩焦的性能。进一步提高MOGA的性能,提出了一种染色策略的集合。已经实施了垂死策略的MOGA(EDS-MOGA)的集合,其结果表明,染色策略的集合比单一死亡策略的莫加达更好。

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