Study for Modeling and Solving Method of Water Resources Optimizing Allocation under Considering Uncertainties

Abstract:

Optimal allocation problem of water resources has some features that principal and subordinate hierarchical, multi-objective, multi-stage, risk decision-making, etc. Aimed to these characteristics, this paper constructs multiple objective risk decision model under principal and subordinate hierarchical risk decision-making, and by integrating a variety of optimization algorithms for solving idea ( such as fuzzy stochastic simulating technique, multi-objective satisfactory degree computation, principal and subordinate hierarchical game, and evolutionary game solving technology based on particle swarm algorithm), established an algorithm system of possessing logical relations. The result is convincible after a case study.

• Periodical: Applied Mechanics and Materials (Volumes 212-213)
• Pages: 554-559
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.212-213.554
• Online since: October 2012
• Authors: Wen Sheng Dong, Hui Wang
• Keywords: Evolutionary Game, Particle Swarm Algorithm, Risk Decision-Making, Water Resources Optimal Allocation

References

[1] Hongsheng Xia, Zhaohan Sheng and Nanrong Xu, An Overview on Multilevel and Multiobjective Decision Making Methods, Systems Engineering and Electronics, 1992,(7):27-32.

[2] Houping Tian, Yajun Guo, Xuejun Wang, Algorithm of Stackelberg game with multipleleaders-followers based on evolutionary game theory, Journal of Systems Engineering, 2005,20(3):303-307.

[3] Xinyi Xu, Hao Wang, Hong Gan, North China's macro-economic theory and methods in water resources planning, Yellow River Water Conservancy Press, 1997.71-93.

[4] Xiaodong Ding, Yangquan Wu, Shihuang Shao, Hybrid programming model with fuzzy and stochastic parameter, Control and Decision, 2002,17(5):587-590.

[5] Xiaodong Ding, Xiapjun Sun, A Hybrid Chance - Constrained Integer Programming Model and Its Application, Systems Engineering Theory Methodology Application, 2005,14(2):141-144.

[6] Zhijian Guo, Xiaojun Sun, Particle Swarm Optimization based Programming Model with Stochastic and Fuzzy Parameters, Control & Automation, 2006,22(1,2):174-175.

[7] Qingwu Xin, Canun Yang, A Method of Optimizing Artillery Firing Based on Fuzzy Multiobjective Decision Making, Operations Research and Management Science, 2005,14(4):29-34.

[8] Haizheng Wang, Yunheng Tong, Algorithm Study on Models of Multiple Objective Risk Decision under Principal and Subordinate Hierarch Decision-making, Operations Research and Management Science, 2007, (16) :1-8.

[9] Ze Yu, Chun Huang, New Progress in risk decision-making theory, Economic Theory and Business Management, 2004,(9):69-74.

[10] Ruyun Xiao, Risk Decision under Uncertainty condition, Nankai Economic Studies, 2003,(1):34-37.

[11] Qiyue Cheng, Wanhua Qiu, Studies on Model of Multiple objective Fuzzy Principal and Subordinate Conflict Decision- Making, Systems Engineering-theory Methodology Applications, 2003,12(1):24-28