The research of decision-make based on IGA in agent-oriented multi-issue automated negotiation

With the development of information technology and network, automated negotiation, which is an effective means of resolving differences and disputes in economy and society fields, is playing an increasingly important role in electronic commerce. In this paper, analyzing the application and character of traditional Genetic Algorithms (GA) and agent technology, we improve traditional GA by generating initial population by artificial means, crossover of preferred parents and big mutation operation, and then propose an agent-oriented multi-issue automated negotiation model based on Improved Genetic Algorithms (IGA). The model closes to the real business negotiation and our goal is to develop an automated negotiator that guides the negotiation process so as to maximize both parties´ effects and supplies the decision- making advice to each negotiation party. Finally, this paper verifies the validity and rationality of the model and gets a satisfactory result.