多目标粒子群算法在工程项目风险管控中的应用  

Application of Multi-objective Particle Swarm Optimization Algorithm in Risk Management of Engineering Projects

作　　者：邓子龙[1] 程芳[1] DENG Zilong;CHENG Fang(Electronic Information Department,Anqing Vocational and Technical College,Anqing 246003,China)

机构地区：[1]安庆职业技术学院电子信息系

出　　处：《新乡学院学报》2019年第9期41-44,共4页Journal of Xinxiang University

基　　金：安徽省高校优秀青年人才支持计划项目(gxyq2017212,gxyq2018217)

摘　　要：针对工程项目的风险管控问题,以风险控制成本最小和风险损失最小为目标函数构建了多目标优化模型,设计了基于多目标粒子群的求解算法,并针对某工程项目的风险管控方案进行了设计分析。仿真结果表明,所提算法能给出风险管控方案的非劣解集,方便决策者根据实际情况进行科学决策。Aiming at the risk management and control problem of engineering projects, the multi-objective optimization model was constructed with the minimum risk control cost and the minimum risk loss as the objective function.The multi-objective particle swarm optimization algorithm was designed and the risk management scheme of a project was designed.analysis.The simulation results show that the proposed algorithm can give a non-inferior solution set of risk management and control scheme, which is convenient for decision-makers to make scientific decisions based on actual conditions.

关 键 词：风险管控 多目标优化 非劣解集 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]