Abstract: Bidding evaluation is an important part during engineering projects. The difficulty using genetic algorithm is lack of the fitness function design methodology that is proper and feasible. On the basis of coding rule of genetic algorithm, this paper leads the Analytic Hierarchy Process (AHP) to the design of fitness function. It explains all the process of making the design of fitness fuction in the use of AHP method through the example calculation. Results show that the algorithm can be effectively applied to the bidding evaluation of engineering projects.

Key words: genetic algorithm, fitness function, engineering project, bidding evaluation

摘要： 评标是工程项目投标中的重要环节，利用遗传算法进行评标，其难点在于缺乏合理可行的适应度函数设计方法。在给出遗传算法编码规则的基础上，引入层次分析法(AHP)进行适应度函数设计，通过实例计算，阐述利用AHP方法进行适应度函数设计的全过程。结果证明，该算法可有效应用于工程项目评标。

关键词: 遗传算法, 适应度函数, 工程项目, 评标

CLC Number: 

• TP391.4