Evolutionary algorithms and multi-agent systems

Jae C. Oh

doi:10.1117/12.668790

22 May 2006 Evolutionary algorithms and multi-agent systems

Jae C. Oh

Proceedings Volume 6228, Modeling and Simulation for Military Applications; 62280P (2006) https://doi.org/10.1117/12.668790
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper discusses how evolutionary algorithms are related to multi-agent systems and the possibility of military applications using the two disciplines. In particular, we present a game theoretic model for multi-agent resource distribution and allocation where agents in the environment must help each other to survive. Each agent maintains a set of variables representing actual friendship and perceived friendship. The model directly addresses problems in reputation management schemes in multi-agent systems and Peer-to-Peer distributed systems. We present algorithms based on evolutionary game process for maintaining the friendship values as well as a utility equation used in each agent's decision making. For an application problem, we adapted our formal model to the military coalition support problem in peace-keeping missions. Simulation results show that efficient resource allocation and sharing with minimum communication cost is achieved without centralized control.

Citation Download Citation

Jae C. Oh "Evolutionary algorithms and multi-agent systems", Proc. SPIE 6228, Modeling and Simulation for Military Applications, 62280P (22 May 2006); https://doi.org/10.1117/12.668790

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