【24h】

A Genetic Algorithm Based on a New Real Coding Approach

机译:基于新的实数编码方法的遗传算法

获取原文
获取原文并翻译 | 示例

摘要

Genetic algorithm is a kind of common method to solve nonlinear programming problems. To improve the computational efficiency of the algorithm, a genetic algorithm based on a new real code (NRCGA) was proposed, which could solve a class of nonlinear programming problems. The new real coded strategy can be used to repair all of the infeasible chromosomes by simply sorting and keeping search within the feasible region. NRCGA is more accurate than the existing methods on equality constraint handling. Many examples show that the new algorithm has high search efficiency and strong robustness.
机译:遗传算法是解决非线性规划问题的一种常用方法。为了提高算法的计算效率,提出了一种基于新实码的遗传算法,可以解决一类非线性规划问题。通过简单地将搜索排序并保持在可行区域内,新的真实编码策略可用于修复所有不可行的染色体。在等式约束处理方面,NRCGA比现有方法更准确。大量实例表明,该算法具有较高的搜索效率和较强的鲁棒性。

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