Searching for Better Negotiation Agreement Based on Genetic Algorithm

Negotiation is commonly required in the pro- curement of construction materials to reach the final con- tractual agreement. In current practice, contractors nego- tiate with suppliers according to negotiators' experiences instead of extensive exploration of negotiable options and negotiators' preferences. Consequently, negotiators often reach suboptimal agreements, and leave money on the ta- ble. This research intends to help negotiators explore ne- gotiable options by developing a computer system, named C-Negotiator, using the genetic algorithm. This arti- cle also describes experiments conducted to determine how much money was left on the table on typical re- alistic construction procurements. The result shows that C-Negotiator's negotiation improved the joint payoff of the contractor and supplier from 1.5% to 9.8% compared with conventional human negotiation. The improvement may increase for more complex negotiation problems with more options and complicated preferences or for inexpe- rienced negotiators.

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