摘要
为实现军用道路纵断面变坡点里程和设计标高的同时优化,在分析传统纵断面优化设计方法的基础上,提出了一种基于量子遗传算法的纵断面优化设计方法,以工程量大小作为评价函数,建立了优化设计数学模型,并给出了详细的求解步骤,最后进行了实例仿真。实例仿真结果表明:与传统的遗传算法相比,本算法模型具有更好的全局寻优能力,能更快速地给出军用道路纵断面设计的初始优化方案,若在此基础上进行人工调整,优化效果更为明显。
In order to achieve synchronous optimization of profile gradient change into point mileage of mil- itary road and elevation design, this paper has proposed profile optimal design approach according to quan- tum genetic algorithm based on analysis of profile optimal design method. Making the project scale as an e- valuation function, establishing the mathematical model of optimal design, the author gives detailed solving steps, there's the instance simulation at last step. The examples show that compared with traditional ge- netic algorithm, the algorithm model has better ability of overall optimization, which can offer the initial optimization program of profile design of military road, if there is manual adjustment on this basis, the op- timization effect will be more obvious.
出处
《四川兵工学报》
CAS
2013年第7期152-155,共4页
Journal of Sichuan Ordnance
关键词
军用道路
量子遗传算法
纵断面
优化设计
military road
Quantum Genetic Algorithm
profile
optimal design