Optimal reservoir operation using multi-objective evolutionary algorithm

Water Resources Management

Volumn 20, Issue 6, 2006, Pages 861-878

  Reddy, M Janga ^a   Kumar, D Nagesh ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Genetic algorithms; Hydropower; Irrigation; Multi objective optimization; Pareto front; Reservoir operation

Indexed keywords

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PARETO PRINCIPLE; SET THEORY;

DOWNSTREAM WATER QUALITY; HYDROPOWER GENERATION; MULTI-OBJECTIVE OPTIMIZATION; PARETO FRONT; RESERVOIR OPERATION;

RESERVOIRS (WATER);

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PARETO PRINCIPLE; RESERVOIRS (WATER); SET THEORY;

GENETIC ALGORITHM; HYDROELECTRIC POWER; IRRIGATION; MULTIOBJECTIVE PROGRAMMING; OPTIMIZATION; RESERVOIR;

EID: 33750403562     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-005-9011-1     Document Type: Article

References (29)

1. Cieniawski, S. E., Eheart, J. W., and Ranjithan, S., 1995, 'Using genetic algorithms to solve a multiobjective groundwater monitoring problem', Water Resour. Res. 31, 399-409.
2. Cohon, J. L. and Marks, D. H., 1973, 'Multi-objective screening models and water resources assessment', Water Resour. Res. 9, 826-836.
3. Cohon, J. L. and Marks, D. H., 1975, 'A review and evaluation of multiobjective programming techniques', Water Resour. Res. 11, 208-220.
4. Croley, T. E. II and Rao, K. N. R., 1979, 'Multi-objective risks in reservoir operation', Water Resour. Res. 15, 1807-814.
5. Deb, K., 2001, 'Multi-Objective Optimization using Evolutionary Algorithms', John Wiley & Sons, Chichester, UK.
6. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T., 2002, 'A fast and elitist multiobjective genetic algorithm: NSGA-II', IEEE Trans. Evol. Comput. 6, 182-197.
7. Fonseca, C. M. and Fleming, P. J., 1995, 'An overview of evolutionary algorithms in multiobjective optimization', Evol. Comput. 3, 1-16.
8. Goicoechea, A., Hansen, D. R., and Duckstein, L., 1982, 'Multi-objective decision analysis with engineering and business applications', John wiley & sons, New York.
9. Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization and Machine Learning, Reading, MA: Addison-Wesley.
10. Haimes, Y. Y., Tarvainen, K., Shima, T., and Thadathil, J., 1990, Hierarchical Multiobjective Analysis of Large-Scale Systems, Hemisphere Publishing co. Newyork.
11. Horn, J., Nafpliotis, N. and Goldberg, D. E., 1994, 'A niched pareto genetic algorithm for multiobjective optimization', in Proc. 1st IEEE Conf. Evolutionary Computation, IEEE World Congr. Computational Computation, Piscataway, NJ, 1, pp.82-87.
12. Knowles, J. and Corne, D., 1999, 'The Pareto archived evolution strategy: A new baseline algorithm for multiobjective optimization', in Proceedings of the 1999 Congress on Evolutionary Computation, Piscataway, NJ: IEEE Press, pp.98-105.
13. Liang, Q., Johnson, L. E. and Yu, Y. S., 1996, 'A comparison of two methods for multiobjective optimization for reservoir operation', Water Resources Bulletin 32, 333-340.
14. Loucks, D. P., Stedinger, J. R., and Haith, D. A., 1981, Water Resource Systems Planning and Analysis, Prentice-Hall, Englewood Cliffs, N.J.
15. Mohan, S. and Raipure, D. M., 1992, 'Multiobjective analysis of multireservoir system', J. Water Resour. Plng. and Manage. ASCE 118, 356-370.
16. Oliveira, R. and Loucks, D. P., 1997, 'Operating rules for multireservoir systems', Water Resour. Res. 33, 839-852.
17. Raj, P. A. and Kumar, D. N., 1996, 'Ranking of river basin alternatives using ELECTRE' Hydrological Sciences Journal 41, 697-713.
18. Ritzel, B. J., Eheart, J. W., and Ranjithan, S., 1994, 'Using genetic algorithms to solve a multiple objective groundwater pollution containment problem', Water Resour. Res. 30, 1589.
19. Sharif, M. and Wardlaw, R., 2000, 'Multireservoir system optimization using genetic algorithms: Case study', J. Comp. in Civ. Engrg. ASCE 14, 255-263.
20. Srinivas, N. and Deb, K., 1994, 'Multiobjective optimization using nondominated sorting in genetic algorithms', Evol. Comput. 2, 221-248.
21. Tauxe, G. H., Inman, R. R., and Mades, D. M., 1979, 'Multi-objective dynamic programming with application to reservoir', Water Resour. Res. 15, 1403-1408.
22. Thampapillai, D. J. and Sinden, J. A., 1979, 'Tradeoffs for multiple objectives planning through linear programming', Water Resour. Res. 15, 1028-1034.
23. Vedula, S. and Mohan, S., 1990, 'Real-time multipurpose reservoir operation: A case study', Hydrological Sciences Journal 35, 447-462.
24. Wardlaw, R. and Sharif, M., 1999, 'Evaluation of genetic algorithms for optimal reservoir system operation', J. Water Resour. Plng. and Manage. ASCE. 125, 25-33.
25. WRDO., 1986, 'Bhadra Reservoir Project', Project report, Water Resources Development Organization, Government of Karnataka, Bangalore, India.
26. Yeh, W.W.-G., 1985, 'Reservoir management and operations models: A state-of-the-art review', Water Resour. Res. 21, 1797-1818.
27. Yeh, W.W-G. and Becker, L., 1982, 'Multiobjective analysis of multreservoir operations', Water Resour. Res. 18, 1326-1336.
28. Zitzler, E., Deb, K. and Thiele, L., 2000, 'Comparison of multiobjective evolutionary algorithms: Empirical results', Evol. Comput. 8, 173-195.
29. Zitzler, E. and Thiele, L., 1999, Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach,' IEEE Trans. Evol. Comput. 3, 257-271.