Using Dual-gene Variation Hybrid Evolution Strategy to Construct Fire Emergency Decision-making Model

摘要：

The time parameter about emergency decision-making problems is the primary optimizational object Evolutionary strategy (ES) can solve the problems of continuous parameter optimization, and is an effective way of solving complex optimizational problems. Therefore, in the paper dual-gene variation hybrid evolution strategy algorithm (μ+λ+κ)-ES is used to construct the fire emergency decision-making model, in order to solve parameter optimizational problems. At the same time, the convergence speed of dual-gene variation hybrid evolution strategy algorithm is verified.

关键词： dual-gene variation hybrid evolution strategy algorithm fire emergency decision-making model

作者: Hongwei Xie Li Zhang

作者单位: College of Computer and Software,Taiyuan University of Technology,Taiyuan,China(030024) College of Computer and Software,Taiyuan University of Technology,Taiyuan,China(030024 )

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 103-106

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）