首页> 外文会议>International conference on intelligent computing >Steepest Descent Bat Algorithm for Solving Systems of Non-linear Equations
【24h】

Steepest Descent Bat Algorithm for Solving Systems of Non-linear Equations

机译:求解非线性方程组的最速下降蝙蝠算法

获取原文

摘要

Bat algorithm (BA) is a kind of heuristic algorithm imitating the echolocation behavior of bats. In consideration of B A shortcomings such as that it could easily fall into traps like local optimum, low accuracy and premature convergence, a new algorithm is proposed by combining steepest descent (SD) algorithm and bat algorithm based on their respective advantages and disadvantages so as to achieve the goal of solving systems of non-linear equations effectively. The results of simulation experiments show that this proposed algorithm (SD-B A) can help improve the accuracy of problem solving and make the optimization results more accurate, and therefore, it is a very efficient and reliable algorithm for solving systems of non-linear equations.
机译:蝙蝠算法(BA)是一种模仿蝙蝠回声定位行为的启发式算法。针对BA容易陷入局部最优,精度低,收敛早等陷阱的缺点,提出了一种新算法,将最速下降(SD)算法和bat算法结合各自的优缺点,提出了一种新的算法。有效地解决了非线性方程组的问题。仿真实验结果表明,该算法(SD-BA)可以提高问题求解的精度,使优化结果更加准确,是求解非线性系统的一种非常有效,可靠的算法。方程。

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