Scheduling of project networks by job assignment
Management Science
Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Distributed rational decision making
Multiagent systems
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Supply Chain Coordination by Means of Automated Negotiations
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Scheduling Problems with Two Competing Agents
Operations Research
Supply Chain Management: A Multi-Agent System for Collaborative Production Planning
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Protocols for Negotiating Complex Contracts
IEEE Intelligent Systems
Active-guided evolution strategies for large-scale capacitated vehicle routing problems
Computers and Operations Research
Niching with derandomized evolution strategies in artificial and real-world landscapes
Natural Computing: an international journal
Agent-based collaborative product design engineering: An industrial case study
Computers in Industry
Agent-based modeling of supply chains for distributed scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A game theoretic approach to decentralized multi-project scheduling
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A multi-agent system for distributed multi-project scheduling: An auction-based negotiation approach
Engineering Applications of Artificial Intelligence
Schema and solutions for decentralised multi-project scheduling problem
International Journal of Computer Applications in Technology
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A new generic negotiation-based mechanism to coordinate project planning software agents to share resources among projects is described. The mechanism, which takes into account asymmetric information and opportunistic behavior, is concretized for the decentralized resource constrained multi-project scheduling problem, and evaluated on 80 benchmark instances taken from the literature and 60 newly generated instances. Computational tests show that the proposed mechanism comes close to results obtained by central solution methods. For twelve benchmark instances new best solutions could be computed.