Stochastic optimization programming for multi-reach river system using GA combined with stochastic simulation

Transactions of Nonferrous Metals Society of China (English Edition)

Volumn 14, Issue SUPPL., 2004, Pages 31-36

  He, Li ^a   Huang, Guo He ^a,b   Li, Qian ^a,b   Liao, Ren Fei ^a   Huang, Jin Hui ^a   Paitoon, P T ^a   Zeng, Guang Ming ^a  

^a UNIVERSITY OF REGINA   (Canada)

^b HUNAN UNIVERSITY   (China)

Author keywords

Genetic algorithm; Multi reach river system; Stochastic optimization programming; Stochastic simulation

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; STOCHASTIC PROGRAMMING; WATER POLLUTION CONTROL; WATER QUALITY;

MULTI REACH RIVER SYSTEM; STOCHASTIC OPTIMIZATION PROGRAMMING; STOCHASTIC SIMULATION;

RIVER POLLUTION;

EID: 3142605117     PISSN: 10036326     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Jaffe M, Al-Jayyousi O. Planning models for sustain-able water resource development [J]. Journal of Environmental Planning and Management, 2002, 45(3): 309-322.
2. Augustine O. Dynamic Programming for Optimal Water Resources Systems Analysis [M]. Englewood Cliffs NJ: Prentice Hall, 1989.
3. Sadjadi S J. Nonlinear Programming Using an Expanded Lagrangian Function-A Water Resources Management Case Study [D]. Waterloo: University of Waterloo, 1998.
4. HUANG G H, Sae-Lim N, LIU L, et al. An interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planning [J]. Environmental Modeling and Assessment, 2001, 6(4): 271-283.
5. Huang G H, Sae-Lim N, Chen Z, et al. Long-term planning of waste management system in the city of Regina-an integrated inexact optimization approach [J]. Environmental Modeling and Assessment, 2001, 6(4): 285-296.
6. HUANH G H. A hybrid inexact-stochastic water management model [J]. European Journal of Operational Research, 1998, 107(1): 137-158.
7. HUANG Ping. Study on random methodology for river water quality programming [J]. Journal of Zhongshan University (Natural Science Edition), 1989, 28(1): 68-75. (in Chinese)
8. Nazemi A R, Akbarzadah M R, Hosseini S M. Fuzzy stochastic linear programming in water resources engineering [A]. Annual Meeting-North American Fuzzy Information Processing Society-Proceeding [C]. New Orleans, LA, 2002.
9. Lingireddy S, Ormsbee L E. Hydraulic network calibration using genetic optimization [J]. Civil Eng Env Syst, 2002, 19(1): 13-39.
10. CHEN H W, CHANG N B. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling [J]. Water Science and Technology, 1998, 37(8): 55-64.
11. LI J R, Khoo L P, Tor S B. A tabu-enhanced genetic algorithm approach for assembly process planning [J]. Journal of Intelligent Manufacturing, 2003(14): 197-208.
12. Henderson D, Vaughan D E, Jacobson S H, et al. Solving the shortest route cut and fill problem using simulated annealing [J]. European Journal of Operational Research, 2003, 145(1): 72-84.
13. Gagne C, Price W L, Gravel M. Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times [J]. The Journal of the Operational Research Society, 2002, 53(8): 895-902.
14. GEN M, LIU B, Ida K. Evolution program for deterministic and stochastic optimization [J]. European Journal of Operational Research, 1996, 94(3): 618-625.
15. Iwamura K, LIU B. A genetic algorithm for chance constrained programming [J]. Journal of Information and Optimization Sciences, 1996, 17(2): 40-47.