复杂工程施工系统资源优化模型及其应用  

Resource Optimization Models and Application for Complex Engineering Construction System

作　　者：钟登华[1] 李明超[1] 张伟波[1] 胡程顺[1] 

机构地区：[1]天津大学建筑工程学院,天津300072

出　　处：《天津大学学报（自然科学与工程技术版）》2004年第7期589-594,共6页Journal of Tianjin University：Science and Technology

基　　金：国家自然科学基金资助项目(50179023);高等学校优秀青年教师教学科研奖励计划资助项目(200166).

摘　　要：对于复杂工程施工系统,工期一定、资源均衡的资源进度计划是需要解决的一个重要且有相当难度的问题.首先利用程序实现了在工程实践中运用的两种经典模型,即削峰填谷模型和最小方差模型,并对比分析了各自的特点;然后引入近年发展起来的遗传算法模型,并加以改进实现.最后将三种模型应用到某大型水电站地下洞室群施工系统资源优化中,获得了各自的仿真优化计算结果.通过比较分析可知,遗传算法模型相对最优,能够很好地满足实际的施工需要,同时也为此类问题的模型选择提供了依据.For complex engineering construction system, resource scheduling of limited project duration-resource leveling is an important and difficult problem. Firstly, two kinds of classical models were realized by programming, i.e. the peak shaving model and the minimum variance model, which had been used widely in practice. And their characters were summarized and contrasted. Next, to obtain a better optimization method, the developing genetic algorithm model was introduced and improved to optimize resource scheduling. Finally, three models were applied to simulating resources leveling of the underground structure group in a practical large-sized hydropower station, and the computational solutions were achieved respectively. The analysis of these results shows that the genetic algorithm model is the best and can satisfy well the demands of practical construction. And, it will also offer good references for model selection of such problems.

关 键 词：施工系统 资源进度计划 削峰填谷法 最小方差法 遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]