摘要
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。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。
This paper presents an optimal design model for physical structure of RITS and a set of solutions based on multi-objective GA （MOGA）. 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.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2006年第10期227-228,279,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60332020)
关键词
铁路智能运输系统
物理结构
多目标优化
PARETO机制
Railway intelligent transportation systems （RITS）
Physical structure
Multi-objective optimization
Pareto mechanism
