Title :
Problem-Solving in Multi-Agent Systems: A Novel Generalized Particle Model
Author :
Shuai, Dianxun ; Shuai, Qing ; Dong, Yuming ; Huang, Liangjun
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai
Abstract :
This paper presents a novel generalized particle model (GPM) for problem-solving in multi-agent systems (MAS). 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
Keywords :
multi-agent systems; optimisation; problem solving; resource allocation; generalized particle model algorithm; high-scale parallelism; multiagent system; multidegree autonomy; multiobjective optimization; multitype coordination; problem-solving; Aggregates; Artificial intelligence; Computer networks; Gravity; Kinematics; Multiagent systems; Parallel processing; Problem-solving; Resource management; Sociology;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.254
