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基于熵权和多目标优化的投标报价方案优选

The Research of the Optimization of Bid Quotation Scheme Based on Entropy Weight and Multi-objective Optimization Model
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摘要 随着招标投标制的推行以及工程量清单计价方式的实施,我国水利工程建设市场面临着越来越激烈的竞争,投标人为了在尽可能中标的同时实现利益的最大化,往往采用不平衡报价法进行投标。这不仅对发包人的经济利益造成损害,还扰乱了招投标的正常秩序,因此发包人在评标阶段要对各投标方案进行优选。本文将熵权理论引入多目标优化的数学模型中,利用熵权法较为客观地确定各指标权重,并通过分析计算各投标方案与理想点间的相对海明距离,确定各投标方案的不平衡度,从而达到优选投标方案的目的。案例分析表明,该方法准确有效,能够为招标人评标提供参考和依据。 With the implementation of the bidding system and the implementation of the bill of quantities, the competition in the construction market of water conservancy projects is becoming increasingly fierce, the bidder in order to achieve the best possible bidder and achieve the maximum benefits, often using unbalanced bidding method. This not only damages the interests of the employer, but also disrupts the normal order of the bidding. Therefore, the employer in the bid evaluation stage to optimize the tender scheme. In this paper,the author introduced the theory of entropy weight into the mathematical model of multi-objective optimization, and used it to determine the index weight objectively. Then the author analysed and calculated the Relative Hamming Distance of each bidding scheme and the ideal point, and determined the degree of imbalance in the tender. Thereby we can select the best winner. The case analysis shows that the method is accurate and effective, and can provide reference and basis for the bid evaluation.
作者 南铁雷
出处 《价值工程》 2016年第9期30-33,共4页 Value Engineering
关键词 熵权 多目标优化 招标投标 不平衡报价 entropy weight multi-objective optimization bid invitation unbalanced bids
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