蚁群算法在多目标工期-成本优化中的应用  

Application of Ant Colony Algorithm Method in Multi-objective Time-Cost Optimization

作　　者：李静[1] 张卓群 李旭 LI Jing;ZHANG Zhuoqun;LI Xu(School of Architectural and Surveying Engineering,Beijing Polytechnic College,Beijing 100042,China;State Nuclear Electric Power Planning Design&Research Institute Co.,Ltd.,Beijing 100095,China;Beijing Zhong Jian Xie Certification Centre Co.,Ltd.,Beijing 100102,China)

机构地区：[1]北京工业职业技术学院建筑与测绘工程学院,北京100042 [2]国核电力规划设计研究院有限公司,北京100095 [3]北京中建协认证中心有限公司,北京100102

出　　处：《北京工业职业技术学院学报》2019年第4期93-95,100,共4页Journal of Beijing Polytechnic College

基　　金：2018年度北京市教委科技计划一般项目(KM201810853003)

摘　　要：输电线路工程的多目标问题一直是工程界的研究难点和热点。以一个实际输电线路工程为具体实例,阐述了一种改进的蚁群算法在工程项目多目标工期-成本优化中的应用。应用MATLAB语言编制了多目标蚁群算法程序,详细说明了蚁群算法应用于实际工程多目标项目工期-成本优化中的具体方法。结果表明:改进的蚁群算法具有较高的全局最优搜索能力和搜索效率,非常适用于多目标工期-成本优化,而且方法简单实用,适于未来的实际工程。The multi-objective problem of transmission line engineering is always the research difficulty and hot spot in the engineering field.Taking an actual transmission line project as an example,this paper expounds the application of an improved ant colony algorithm in multi-objective time-cost optimization of project.The program of multi-objective ant colony algorithm is compiled with MATLAB language,and the specific method of applying the ant colony algorithm to the multi-objective time-cost optimization of practical project is explained in detail.The results show that the improved ant colony algorithm has high global optimal search ability and search efficiency,which is very suitable for multi-objective time-cost optimization,and the method is simple and practical,and suitable for future practical projects.

关 键 词：改进的蚁群算法 多目标 工期 成本 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]