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基于Pareto蚁群算法的风电项目工期-成本-质量均衡优化
引用本文:刘吉成,常昊,王素花.基于Pareto蚁群算法的风电项目工期-成本-质量均衡优化[J].电力建设,2014(4):127-131.
作者姓名:刘吉成  常昊  王素花
作者单位:华北电力大学经济与管理学院;大唐三门峡电力有限责任公司;
摘    要:工期、成本和质量是风电项目管理的关键.在分析风电项目基建期工期-成本-质量关系的基础上,构建了风电项目工期-成本-质量均衡优化模型,确定了决策变量和效用目标函数,阐述了Pareto蚁群算法的原理和计算步骤,并且通过分析风电工程施工网络计划,计算出关键路径和工期,用MATLAB编写Pareto蚁群算法程序对该模型进行求解得到Pareto解和综合效用值,并生成三维Pareto图,不仅验证了该优化模型的可行性,还为风电项目管理者提供了有效的决策依据.

关 键 词:风电项目  工期-成本-质量  效用函数  均衡优化  Pareto蚁群算法

Time-Cost-Quality Trade-off Optimization of Wind Power Project Based on Pareto Ant Colony Optimization Algorithm
LIU Jicheng,CHANG Hao,WANG Suhua.Time-Cost-Quality Trade-off Optimization of Wind Power Project Based on Pareto Ant Colony Optimization Algorithm[J].Electric Power Construction,2014(4):127-131.
Authors:LIU Jicheng  CHANG Hao  WANG Suhua
Affiliation:1. School of Economics & Management, North China Electric Power University, Beijing 102206, China; 2. Datang Sanmenxia Power Generation Co. , Ltd. , Sanmenxia 472143, Henan Province, China)
Abstract:The time limit, cost and quality is the key to wind power project management. Based on the analysis of time-cost-quality relationship in the construction period of wind power project, this paper built time-cost-quality trade-off optimization model for wind power project, determined the decision variables and utility objective function, and expounded the principle and computation steps of Pareto ant colony optimization (PACO) algorithm. Finally, through the analysis of the construction network program of wind power project, this paper calculated the critical path and time limit, compiled PACO program in MATLAB to solve the model, obtain the Pareto solution and comprehensive utility value, generate a three-dimensional Pareto diagram as well, which could not only verify the feasibility of the optimization model, and also provide effective decision-making basis for wind power project managers.
Keywords:wind power project  time-cost-quality  utility function  trade-off optimization  Pareto ant colony optimization
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