Solution method of optimal scheme set for water resources scheduling group decision-mahing based on multi-agent computation

Intelligent Automation and Soft Computing

Volumn 17, Issue 7, 2011, Pages 871-883

  Li, Chenming ^a   Wang, Fengzhou ^b   Wei, Xiaodong ^a   Ma, Zhenli ^a  

^a HOHAI UNIVERSITY   (China)

^b XUZHOU INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Genetic algorithm; Group decision making; Multi Agent computation; Pareto optimization; Water resources allocation and scheduling

Indexed keywords

EID: 84855385527     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2011.10643195     Document Type: Article

References (20)

1. Minsker, B S, Padera B, Smalley, J B, “Efficient methods for including uncertainty and muitiple objectives in water resources management models using Genetic Algorithms,”. International Conference on Computational Methods in Water Resources, Calgary, 2000.
2. Hao Wang, Dayong Qing, Jianhua Wang, “Systematic Perspective and Methodology of Watershed Planning,” Journal of Hydraulic Engineering, 8(8):1˜6, 2002.
3. Chinese Academy of Engineering -- Chinese sustainable development Water Resources Project Team. Comprehensive Report of Strategy on Water Resources for Chinese Sustainable Development.Beijing:China Waterpower Press, 2002.
4. Minsker, B S, Padera B, Smalley, J B, “Efficient methods for including uncertainty and multiple objectives in water resources management models using Genetic Algorithms,” International Conference on Computational Methods in Water Resources, Calgary, 2000.
5. Tom Wanyamaa, Behrouz Homayoun, “A protocol for multi-agent negotiation in a group-choice decision making process,” Journal of Network and Computer Applications, 30(3), 2007.
6. Edward Evans, Richard Ashley, etc. Foresight future flooding of UK. Scientific summary:Volume I & II, Office of Science and Technology of UK[M]. London, 2004.
7. Yanhua Liu, Jiahua Wei, Xiaowei Liu, etc. Theory Method And Practice of Yellow River Water Scheduling Decision Support System [M]. Beijing:China Waterpower Press, 2005.
8. Junshan Han, Jiren Li, Jiquan Zhang. Theory, Technology Method and Practice of Modern Flood Management on Songhua River Watershed [M]. Jilin Science technology press, 2009.
9. Lizhong Xu, Xiaoping Ma, Jianjun Ni, “Multi-Agent based Models for Complex Adaptive System of the Inter-Basin Water Transfer,” Proceedings of the International Conference on Complex Systems and applications. Huhhot, China. 2006.
10. Christian, Nikolaus Hansen, Stefan Roth, “Covariance Matrix Adaptation for Multi-objective Optimization”. Evolutionary Computation, 15(1), 2007.
11. Mark D.Johnston, “An Evolutionary Algorithm Approach to Multi-Objective Scheduling of Space Network Communications,” Intelligent Automation and Soft Computing, 14(3), pp. 367–376, 2008.
12. Jingui Lu, Li zhang and Hong Yang. Combing strategy of genetic algorithm and particle swarm algorithm for reactive power optimization. 2010 International conference on electrical and control engineering, 3613–3616, 2010.
13. Jingui Lu, Ning Fang, Dinghong Shao and Congyan Liu. An improved immune-genetic algorithm for TSP. 3rd International conference on natural computation, 2007.
14. Osyczka A, Kundu S, “A new method to solve generalized multi criterion optimization problems using genetic algorithm,” Structural Optimization, 10(2), 1995.
15. Llhem kallel, Mohamed Jamied, Adel M. Alimi, “A Multi-Agent Approach for Genetic Algorithm Implementation,” IEEE SMC 2005.
16. John T. Scholz, Bruce Stiftel, “Adaptive Governance and Water Conflict:New Institutions for Collaborative Planning,” Resources for the Future, 2005.
17. Francesco Luna, Benedikt Stefansson. Economic Simulations in Swarm:Agent-Based Modelling and Object Oriented Programming. Kluwer Academic Publishers, Italy, 2003.
18. Jiangsu province statistical bureau. Jiangsu statistic yearbook 2000. compact disc version.
19. Anhui province statistical bureau. Anhui statistic yearbook 2000. Beijing:Chinese statistic press. 2001.
20. Shandong province statistical bureau. Shandong statistic yearbook 2000. Beijing:Chinese statistic press. 2001.