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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||