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2006 First International Multi-Symposiums on Computer and Computational Sciences
Problem-Solving in Multi-Agent Systems: A Novel Generalized Particle Model
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
Dianxun Shuai, East China University of Sci. and Tech., China
Qing Shuai, Huazhong University of Sci. and Tech., China
Yuming Dong, Qingdao Technological University, China
Liangjun Huang, East China University of Sci. and Tech., China
This paper presents a novel generalized particle model (GPM) for problem-solving in multi-agent systems (MAS).1 The construction, dynamics and properties of the GPA and corresponding algorithm are discussed. The GPA has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree autonomy, and the ability to deal randomly occurring phenomena in MAS systems.
Citation:
Dianxun Shuai, Qing Shuai, Yuming Dong, Liangjun Huang, "Problem-Solving in Multi-Agent Systems: A Novel Generalized Particle Model," imsccs, vol. 2, pp.322-329, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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