文献类型：期刊文献

英文题名：Particle dynamics approach to multi-agent systems

作者：Shuai, Dianxun[1]; Shuai, Qing[2]; Xu, Li D.[3]; Dong, Yumin[4]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, China; [2] Department of Sociology, Huazhong University of Science and Technology, Wuhan 430074, China; [3] College of Business and Public Administration, Old Dominion University, Norfolk, VA 23529-0218, United States; [4] Center of Computer Networks, Qingdao Technological University, Qingdao 266033, China

年份：2006

卷号：3

起止页码：2470

外文期刊名：Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

收录：EI(收录号：20073510786834)

语种：英文

外文关键词：Computer simulation - Distributed computer systems - Large scale systems - Problem solving - Random processes - Resource allocation

摘要：The resources allocation and task assignment in complex distributed network environment is a typical problem of multi-agent systems (MAS). Even without taking into account interactions, coordinations, and a variety of random phenomena in networks, the bandwidth allocation problem in ATM networks is also NP-complete. This paper presents a particle dynamics approach (GPDA) that transforms the MAS problem-solving into the kinematics and dynamics of particles in a force-field. As an important application for problem-solving in MAS, this paper uses GPDA to optimize the bandwidth allocation and QoS in ATM networks. The GPA has features in terms of the high-degree parallelism, multi-objective optimization, multi-type coordination, multi-granularity coalition, and easier hardware implementation. Simulations and comparisons show the effectiveness and suitability of GPDA. ? 2006 IEEE.