Application of artificial immune algorithm in e-commerce oriented negotiation support system

Negotiation support system has become increasingly important since the advent of electronic commerce. But the existing NSS cannot conveniently, timely and effectively help negotiators make decisions in the real-time bargaining. Since immune algorithms have the advantages of converging global search space fast, intrinsic parallelism and resolving the optimization problems with simulating the immune system, in this paper we attempt to apply artificial immune algorithm to providing solution supporting in the electronic commerce oriented NSS in order to offer optimal or near-optimal solutions for negotiators. We verify the feasibility and special superiority of this method through theory analysis and experiments.