Ant algorithms for discrete optimization
Artificial Life
Simultaneous optimization of multiple criteria for efficient agent service brokering
Proceedings of the fifth international conference on Autonomous agents
Agent-based service composition through simultaneous negotiation in forward and reverse auctions
Proceedings of the 4th ACM conference on Electronic commerce
Designing Peer-To-Peer Agent Auctions Using Object-Process Methodology
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
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Over the past few years, Electronic Commerce has become an increasingly central part of the economy. More and more transactions, both from business to consumer and between businesses, are taking place online. Simple fixed cost business transactions are often automated at one or both ends and auctions are mainly conducted by automated auctioneer software. Bid evaluation is a costly optimization problem. It involves the examination of all possible combinations of bids and subsequently the selection of the best combination; based on factors such as price, supplier reliability, schedule risk, etc. If an exhaustive search approach is used to derive the optimum solution, the generation of possible bid combinations will explode combinatorial as the number of bids grow. This paper shows how to build an ant system for autonomous agents. In addition, it assigns customer agents' services to supplier agents' bids in the best possible way while considering several factors.