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Task matching & scheduling algorithm of hybrid avator team in collaborative virtual environments

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2 Author(s)
Hui-Yi Liu ; Comput. & Inf. Eng. Coll., Hohai Univ., Nanjing ; Jing-Fen Chen

With the coordination and collaboration mechanism in MAS (multi-agent system), a task matching & scheduling model of HA (hybrid avator) team in CVE (collaborative virtual environments ) is created. The energy consumption to complete the task is minimized by finding the best task matching & scheduling strategy on the precondition that HA agent in the team satisfies the dependence and restriction relation among all sub-tasks with common task. Exhaustive enumeration is traditionally used to achieve global optimization with huge system cost, which possibly leads to search combination explosion. In this paper, team task matching & scheduling algorithm based on genetic algorithm is introduced with simulation examples for its model of HA team. The experiment results show that the algorithm has a comparatively high efficiency in solving problem on team task matching & scheduling.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:4 )

Date of Conference:

12-15 July 2008