Taboo search as an intelligent agent for bid evaluation

Abstract

These last years, many researchers have focused on e-commerce, particularly on the market architecture and on the negotiation protocols. This paper tries to propose a taboo search-based approach to solve the bid evaluation problem in e-commerce. The proposed approach considers the cost, risk, and temporal constraints to evaluate complex bids of suppliers. It is performed by an intelligent agent using taboo search concepts to select the optimal set of bids for coordinated tasks. A clients/server model for e-commerce integrating the taboo search agent is discussed.