首页> 外文会议>International Conference on Modeling, Simulation, Optimization and Algorithm >Research on target assignment method based on ant colony-fish group algorithm
【24h】

Research on target assignment method based on ant colony-fish group algorithm

机译:基于蚁群鱼群算法的目标分配方法研究

获取原文

摘要

Target assignment problem has always been the focus of scholars. The solution of target problem belongs to classical mathematical problem. This paper combines ant colony algorithm with artificial fish swarm algorithm by understanding intelligent algorithm. The concept of crowding degree is introduced into fish swarm algorithm. In the early stage of the algorithm, the dispersion is large, avoiding premature maturity. In the later stage, the convergence speed of the algorithm is faster and the time is saved. Compared with other algorithms, the hybrid algorithm has the characteristics of strong optimization ability and fast speed.
机译:目标分配问题一直是学者的重点。 目标问题的解决方案属于古典数学问题。 本文通过了解智能算法,将蚁群算法与人工鱼类群算法结合起来。 挤压程度的概念被引入Fish Swarm算法。 在算法的早期阶段,色散大,避免过早成熟。 在稍后的阶段,算法的收敛速度更快,节省时间。 与其他算法相比,混合算法具有强的优化能力和快速速度的特点。

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