首页> 外文OA文献 >Modified cuckoo search algorithm for solving nonconvex economic load dispatch problems
【2h】

Modified cuckoo search algorithm for solving nonconvex economic load dispatch problems

机译:改进的布谷鸟搜索算法解决非凸型经济负荷分配问题

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper presents the application of modified cuckoo search algorithm (MCSA) for solving economic load dispatch (ELD) problems. The MCSA method is developed to improve the search ability and solution quality of the conventional CSA method. In the MCSA, the evaluation of eggs has divided the initial eggs into two groups, the top egg group with good quality and the abandoned group with worse quality. Moreover, the value of the updated step size in MCSA is adapted as generating a new solution for the abandoned group and the top group via the Levy flights so that a large zone is searched at the beginning and a local zone is foraged as the maximum number of iterations is nearly reached. The MCSA method has been tested on different systems with different characteristics of thermal units and constraints. The result comparison with other methods in the literature has indicated that the MCSA method can be a powerful method for solving the ELD
机译:本文介绍了改进的布谷鸟搜索算法(MCSA)在解决经济负荷分配(ELD)问题中的应用。开发MCSA方法是为了提高常规CSA方法的搜索能力和解决方案质量。在MCSA中,对鸡蛋的评估将初始鸡蛋分为两组,质量最高的鸡蛋组和质量较差的废弃鸡蛋组。此外,MCSA中更新的步长值适用于通过征费航班为被遗弃的群体和高层群体生成新的解决方案,以便在开始时搜索较大区域,并以局部区域为最大数量的迭代次数即将达到。 MCSA方法已在具有不同热单元特性和约束条件的不同系统上进行了测试。与文献中其他方法的结果比较表明,MCSA方法可能是解决ELD的有力方法

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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