Journal of Northeastern University ›› 2006, Vol. 27 ›› Issue (1): 17-20.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Optimization of award of bid for a class of construction projects

Zhou, Wei (1); Zhang, Ze (1); Wang, Hai-Yan (1); Zhang, Shu-Hong (1)   

  1. (1) Key Laboratory of Process Industry Automation of Liaoning Province, Northeastern University, Shenyang 110004, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-01-15 Published:2013-06-23
  • Contact: Zhou, W.
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Abstract: 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.

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