【作者】 孟燕； 孙扬； 贾利民；

【Author】 Meng yan1,Sun Yang2 ,Jia LiMin 3(1.China Acadamy of Railways Sciences ,Beijing ,100081;2.Tsinghua University,Beijing 100084;3.Beijing Jiaotong University,Beijing 100044)

【机构】 铁道科学研究院电子所； 清华大学； 北京交通大学；

【摘要】 铁路智能运输系统(RITS)结构优化设计方法研究对铁路信息化建设和现有信息化资源的整合具有重要意义。本文提出了RITS物理结构优化设计问题模型和基于多目标优化的解决思路。RITS结构优化设计待优化函数具有高维、多峰、非线性等特点,求解难度大。本文重点研究了一类基于Pareto机制的具有快速全局收敛能力的多目标遗传算法,并以紧急救援系统为例进行结构优化设计,验证了算法的有效性。更多还原

【Abstract】 It is important for the railway informatization construction and information resource integration to research the optimal design methodology for RITS. An optimal design model for physical structure of RITS and a set of solutions based on multi-objective GA (MOGA) are presented in the paper. The optimized function for RITS structure design features with high dimension, multi-peak, non-linearity and computational complexity and there is usually no optimal unique solution in traditional meanings. Therefore, the Pareto mechanism is the only way to find the solution mediating different, usually contradictive aspects concerned. A MOGA based Pareto optimization approach is put forward with its effectiveness and efficiency approved in the design of the railway emergency system.更多还原