An Optimized Approach for E-Commerce Negotiation

Abstract

When business moved to the internet and the term e-commerce was coined, companies simply replicated traditional business practices. Negotiation is an important process of e-commerce activities. Its goal is to find the optimal solution satisfies buyers and sellers. This paper introduces an optimization technique for getting maximum profit for seller and also minimum cost for buyer. A model of e-commerce negotiation is proposed to find the optimal solution satisfying buyers and sellers, then an improved particle swarm optimization algorithm is used to find the best solution for negotiation. To prevent trapping into a local optima through increasing diversity of the swarm, uniform distribution method is used to generate initial particles. Experimental results show that using the proposed particle swarm optimization algorithm the negotiation solution has been improved.