A Solitary Wave Approach to Parallel Optimization for Multi-agent Systems and Computer Networks

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.