Evaluation of agents' management impact on performances in coalition-based cooperation

We study within this paper the effect of agents' management on the global performance of a multiagent system (MAS). Cooperative systems working under coalition formation strategies have been considered in this work. Our evaluation approach uses representation tools of the coalition formation process in addition to mathematical modeling techniques using utility functions. An empirical study has been led to validate this approach and present a benchmarking of three different cooperative strategies: Binary Max-Sum, Distributed Stochastic Algorithm and Greedy algorithm. Each strategy aims at solving the problem of task allocation in search and rescue scenarios.