一类建筑工程发包的优化决策

针对一类工期要求较严格的建筑工程,提出了“基于遗传算法的无标底招标优化决策”的新方法.该方法以“市场价格”和“合理最短工期”为目标,建立了0-1整数规划模型,并在一个教学楼工程的发包决策中进行了实践.结果表明,该方法能够根据招标方对投标单位资格标、技术标、商务标的不同要求,进行加权和量化,增强了发包单位决策的科学性、客观性,提高了资金的使用效率,减少了干扰因素.同时“嵌入模糊决策的遗传算法”的运用,解决了一般数学规划方法难以求解模型中非连续可微分的目标函数问题,并有效地解决了一类建筑工程发包决策中的优化问题.

Optimization of Award of Bid for a Class of Construction Projects

A new approach to the optimization based on genetic algorithm for the process of award of bid without bottom bidding is proposed for a class of construction projects to which the construction period is strictly needed.Taking "market price" and "reasonably shortest construction period" as objectives,a 0-1 integer programming model was set up and put into practice in the process of the award of bid for the construction of a class-room building.The results revealed that this approach can realize weighting procedure and quantification in accordance to what the bid inviter required for bidder' qualification,technological level and the business structure of their bidding prices,thus making the process of award of bid more scientific and objective so as to improve the efficiency of utilization of funds and lower the unnecessary disturbance.Meanwhile,by use of the genetic algorithm with fuzzy decision embedded in,the discontinuous differentiable objective function in a model can be solved though it is hard to solve by way of conventional mathematical programming.The optimization of the process of award of bid without bottom bidding is therefore available to construction projects.