Multi-tier interactive genetic algorithms for the optimization of long-term reservoir operation

Advances in Water Resources

Volumn 34, Issue 10, 2011, Pages 1343-1351

  Wang, Kuo Wei ^a   Chang, Li Chiu ^b   Chang, Fi John ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TAMKANG UNIVERSITY   (Taiwan)

Author keywords

Decomposition; Multi tier interactive genetic algorithm (MIGA); Optimization; Reservoir operation

Indexed keywords

COMPLICATED SYSTEMS; COMPUTATION TIME; DECOMPOSITION STRATEGY; FITNESS VALUES; HIGH-DIMENSIONAL; INTERACTIVE GENETIC ALGORITHM; LONG-TERM OPERATION; MULTI TIER ARCHITECTURE; MULTI-TIER; OPERATION STRATEGY; OPTIMAL SOLUTIONS; OPTIMIZATION METHOD; ORIGINAL SYSTEMS; RESERVOIR OPERATION; SHIH-MEN RESERVOIR; SIMULATION-BASED; SUB-SYSTEMS;

DECOMPOSITION; IMAGE RETRIEVAL; OPTIMAL SYSTEMS; OPTIMIZATION; USER INTERFACES;

GENETIC ALGORITHMS;

DECOMPOSITION ANALYSIS; EFFICIENCY MEASUREMENT; GENETIC ALGORITHM; OPERATIONS TECHNOLOGY; OPTIMIZATION; RESERVOIR;

SHIHMEN RESERVOIR; TAIWAN;

EID: 80052842313     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2011.07.004     Document Type: Article

References (25)

1. Anelli G., Broggi A., Destri G. Decomposition of arbitrarily shaped binary morphological structuring elements using genetic algorithms. IEEE Trans Pattern Anal Mach Intell 1998, 20(2):217-224.
2. Cai X., McKinney D.C., Lasdon L.S. Solving nonlinear water management models using a combined genetic algorithm and linear programming approach. Adv Water Resour 2001, 24(6):667-676.
3. Chang L.C. Guiding rational reservoir flood operation using penalty-type genetic algorithm. J Hydrol 2008, 354:65-74.
4. Chang L.C., Chang F.J., Wang K.W., Dai S.Y. Constrained genetic algorithms for optimizing multi-use reservoir operation. J Hydrol 2010, 390:66-74.
5. Chaves P., Chang F.J. Intelligent reservoir operation system based on evolving artificial neural networks. Adv Water Resour 2008, 31:926-936.
6. Chen Y.H., Chang F.J. Evolutionary artificial neural networks for hydrological systems forecasting. J Hydrol 2009, 367:125-137.
7. Chiu Y.C., Chang L.C., Chang F.J. Using a hybrid genetic algorithm-simulated annealing algorithm for fuzzy programming of reservoir operation. Hydrol Process 2007, 21:3162-3172.
8. Debels D., Vanhoucke M. A decomposition-based genetic algorithm for the resource-constrained project-scheduling problem. Oper Res 2007, 55(3):457-469.
9. Goldberg D.E. Genetic algorithms in search, optimization, and machine learning 1989, Addison-Wesley, Reading, MA. 2nd ed.
10. Grygier T.C., Stedinger J.R. Algorithms for optimizing hydropower system operation. Water Resour Res 1985, 21(1):1-10.
11. Holland J.H. Adaptation in natural and artificial systems 1975, The University of Michigan Press, Ann Arbor, MI.
12. Houcks M.H. Real-time daily reservoir operation by mathematical programming. Water Resour Res 1982, 16(1):196-200.
13. Huang W.C., Yuang L.C., Lee C.M. Linking genetic algorithms with stochastic dynamic programming to the long-term operation of a multireservoir system. Water Resour Res 2002, 38(12). p. 40.1-9.
14. Kato K., Sakawa M. Genetic algorithms with decomposition procedures for multidimensional 0-1 knapsack problems with block angular structures. IEEE Trans Syst Man Cybernet - Part B: Cybernet 2003, 33(3):410-419.
15. Kim S, Weissman JB. A GA-based approach for scheduling decomposable data grid applications. In: Proceedings of the 2004 international conference on parallel processing; 2003.
16. Loucks D.P., Stedinger J.R., Haith D.A. Water resources systems planning and management 1981, Prentice-Hall, New Jersey, p. 320-32.
17. Mausser H.E., Lawrence S.R. Exploiting block structure to improve resource-constrained project schedules. Metaheuristics 1995: state of the art 1995, Kluwer. F. Glover, I. Osman, J. Kelley (Eds.).
18. Mays L.W., Tung Y.K. Hydrosystems engineering and management 1992, McGraw-Hill, New York.
19. Palpant M., Artigues C., Michelon P. LSSPER: solving the resource-constrained project scheduling problem with large neighbourhood search. Ann Oper Res 2004, 131:237-257.
20. Reznicek K.K., Simonovic S.P. An improved algorithm for hydropower optimization. Water Resour Res 1990, 26(2):189-198.
21. Simonovic SP. Managing water resources: methods and tools for a systems approach. London: UNESCO, Paris and Earthscan James & James; 2009.
22. Simonovic S.P., Burn D.H. An improved methodology for short-term operation of a single multipurpose reservoir. Water Resour Res 1989, 25(1):1-8.
23. Sprecher A. Network decomposition techniques for resource constrained project scheduling. J Oper Res Soc 2002, 53(4):405-414.
24. Suen J.P., Eheart J.W. Reservoir management to balance ecosystem and human needs: incorporating the paradigm of the ecological flow regime. Water Resour Res 2006, 42(3):W03417.
25. Yeh W.W.-G. Reservoir management and operation models: a state-of-the-art review. Water Resour Res 1985, 21(12):1797-1818.