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A Multi-agent Negotiation Model Applied in Multi-objective Optimization

  • Chuan Shi
  • Jiewen Luo
  • Fen Lin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4088)

Abstract

Although both multi-objective optimization and agent technology gained a lot of interest during the last decade, many aspects of their functionality still remain open. This paper proposes the multi-agent negotiation model applied in multi-objective optimization. There are three types of agents in the system. The plan agent plans the global best benefit; the action agent plans the best benefit of the single objective; and the resource agent manages the common resource. The agents compete and cooperate to reach the global best benefit through their negotiation. The model is applied in evolutionary multi-objective optimization to realize its parallel and distributed computation, and the experiment on MAGE shows the model is effective.

Keywords

Pareto Front Resource Agent Plan Agent Global Objective Negotiation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chuan Shi
    • 1
    • 2
  • Jiewen Luo
    • 1
    • 2
  • Fen Lin
    • 1
    • 2
  1. 1.Key Laboratory of Intelligent Information ProcessInstitute of Computing Technology Chinese Academy of Science 
  2. 2.Graduate University of the Chinese Academy of Sciences 

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