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This paper presents a solitary wave propagation (SWP) approach to optimize task allocation and source assignment in multi-agent systems (MAS) and computer networks (CN). The proposed approach transforms the parallel optimization problem in MAS and CN into the solitary wave propagation process in non-linear space. Features of the SWP approach include a powerful processing ability in a complex environment that involves the priority, personality, autonomy, congestion degree, and interaction of different entities in MAS and CN. Furthermore, the SWP-basedmodel can realize the optimization of multiple objectives, including the aggregate utility, the personal utility, the minimal personal utility, the resource utilization, and the users' satisfactory degree.
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on (Volume:5 )
Date of Conference: 18-20 Oct. 2008