DocumentCode :
2484641
Title :
Computation method of optimal scheme set for water resources scheduling group decision making based on evolution strategy
Author :
Li, Chenming ; Wang, Fengzhou ; Ma, Zhenli ; Wei, Xiaodong ; Wang, Huimin
Author_Institution :
Coll. of Comput. & Inf. Eng., Hohai Univ., Nanjing, China
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
1036
Lastpage :
1039
Abstract :
Water resources system has obvious complexity and uncertainty, so water resources allocation and scheduling management is a typical group decision-making problem. Determining how to generate the optimum solution set by computing is the key to the research and development of water resources scheduling decision group support system. For this problem, in the existing group decision support systems on water resources scheduling, the effective methods have not been developed. This paper proposes the algorithm of group decision making optimal scheme set based on Agent calculation. The proposed algorithm can generate the optimal scheme set by using the multi-Agent calculation based on the genetic algorithm. Simulation results show that the proposed algorithm can make the coordination satisfaction degree of each group decision-making convergence, and effectively generate optimal solutions set through calculation.
Keywords :
genetic algorithms; group decision support systems; scheduling; water resources; water supply; coordination satisfaction degree; genetic algorithm; group decision making convergence; group decision making optimal scheme set; group decision support system; group decision-making problem; multiagent calculation; optimal solution set; optimum solution set; research and development; scheduling management; water resource allocation; water resource scheduling decision group support system; water resource scheduling group decision making; water resource system; Computational modeling; Decision making; Decision support systems; Floods; Processor scheduling; Resource management; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8567-3
Electronic_ISBN :
978-89-88678-30-5
Type :
conf
DOI :
10.1109/ICCIT.2010.5711215
Filename :
5711215
Link To Document :
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