Title :
Construction Bidding Negotiation System Based on Agent
Author_Institution :
Coll. of Econ. Manage., Huazhong Agric. Univ., Wuhan, China
Abstract :
By means of simulating the real process of invite public bidding, this paper designs a system for construction bidding based on agent, and puts forward a multi-agent model of negotiation based on genetic algorithm. It shows the negotiation strategy by using the concept of "sequence of negotiation offer threshold", and provides an improving algorithm structure of the genetic operation in the flow chart to optimize the sequence of negotiation offer threshold. The negotiation model changes tender\´s unilateral-led situation, ensures equal status, and provides more negotiated space. It makes the bidding negotiation get an agreement in a short time, with the results have a win-win situation. Therefore, the system realizes the efficiency, fairness and scientific. It suggests a new idea to achieve the electronic and intelligent bidding.
Keywords :
construction industry; flowcharting; genetic algorithms; multi-agent systems; negotiation support systems; construction bidding negotiation system; electronic bidding; flow chart; genetic algorithm; genetic operation; intelligent bidding; multiagent model; negotiation model; negotiation offer threshold; public bidding; system design; win-win situation; Biological system modeling; Computational modeling; Construction industry; Encoding; Predictive models; Schedules;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5576755