Research on algorithms of task scheduling

被引：0
|
作者：
Yang, DS [1 ]
Lu, YL [1 ]
Liu, Z [1 ]
Zhang, WM [1 ]
机构：
[1] Natl Univ Def Technol, Dept Management Sci & Engn, Changsha, Hunan, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
tasks scheduling; fitness of agents; MDLS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Interdependence of tasks necessitates complex scheme among agents in multi-agent systems (MAS). An effective task schedule is important to operations of an MAS and its task processing strategy. This paper defines the fitness between agent capability and task requirements, which is to measure the matching agent's capability with task's requirements, and the multidimensional dynamic list scheduling (MDLS) scheduling algorithms is improved on the course of assigning. The results from different priority coefficient are compared.
引用
收藏
页码：42 / 47
页数：6
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