...
首页> 外文期刊>International review of electrical engineering >Solution of Multi-Objective Optimal Power Flow with Chaotic Artificial Bee Colony Algorithm
【24h】

Solution of Multi-Objective Optimal Power Flow with Chaotic Artificial Bee Colony Algorithm

机译:混沌人工蜂群算法求解多目标最优潮流

获取原文
获取原文并翻译 | 示例
           

摘要

In the study multi objective optimum power flow problem is solved through chaotic artificial bee colony algorithm. For the solution of the problem both chaos theory and artificial algorithm are utilized together. Until today chaos theory has been used with numerous heuristic methods. The chaos theory is utilized together with artificial bee colony algorithm through its application on the best individual at the end of the each generation. The artificial bee colony algorithm is a new population based heuristic algorithm that reaches its global minimum at linear and non-convex problems in a short while. In this algorithm the source of inspiration is the nutrition pursuit of the bees in nature. The proposed method is applied to IEEE 30-bus test system. In order to illustrate the efficiency of chaotic artificial bee colony algorithm the results are compared with other findings in the literature.
机译:在研究中,通过混沌人工蜂群算法解决了多目标最优潮流问题。为了解决该问题,将混沌理论和人工算法结合在一起使用。直到今天,混沌理论已被用于许多启发式方法。通过将混沌理论与人工蜂群算法一起应用到每一代末尾的最佳个体上。人工蜂群算法是一种新的基于种群的启发式算法,可在很短的时间内解决线性和非凸问题的全局最小值。在这种算法中,灵感的来源是自然界对蜜蜂的营养追求。该方法应用于IEEE 30总线测试系统。为了说明混沌人工蜂群算法的效率,将结果与文献中的其他发现进行了比较。

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