Multi-objective particle swarm optimization for optimal reservoir operation

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

Volumn , Issue , 2005, Pages 1183-1192

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

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX PROBLEMS; MODEL RESULTS; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION; MULTIPLE OBJECTIVES; MULTIPURPOSE RESERVOIRS; OPERATING POLICIES; OPTIMAL SOLUTIONS; RESERVOIR OPERATION; RESERVOIR SYSTEMS; ROBUST OPERATION; TRADE-OFF CURVES;

EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

ARTIFICIAL INTELLIGENCE;

EID: 84872068562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Cohon, J.L. and Marks, D.H.: A Review and Evaluation of Multiobjective Programming Techniques. Water Resour. Res., 11 (1975). 208-220.
2. Monarchi, D.E., Kiesel, C.C. and Duckstein, L.: hiteractive multiobjective programming in water resources: a case study. Water Resour. Res., 9 (1973). 837-850.
3. Haiines, Y.Y. and Hall, W.A.: Multiobjectives in water resources systems: the surrogate worth trade-off method. Water Resour. Res., 10 (1974). 615-624.
4. Croley, T.E. and Rao, K.N.R.: Multi-objective risks in reservoir operation. Water Resour.Res., 15 (1979), 1807-814.
5. Byer, P.H.: Screening Objectives in Water Resources Planning. Water Resour. Res., 15(1979). 768-774.
6. Tauxe, G.H., Ininan, R.R. and Mades, D.M.: Multi-objective dynamic programming with application to reservoir. Water Resour. Res., 15 (1979). 1403-1408.
7. Liang, Q., Johnson, L.E., and Yu, Y.S.: A comparison of two methods for multiobjective optimization for reservoir operation. Water Resources Bulletin. 32 (1996). 333-340.
8. Thampapillai, D.J. and Sinden, J.A.: Tradeoffs for Multiple Objectives Planning through Linear Programming. Water Resour. Res., 15 (1979). 1028-1034.
9. Yeh, W.W-G. and Becker, L.: Multiobjective Analysis of Multreservoir Operations. Water Resour. Res., 18 (1982). 1326-1336.
10. Deb, K.: Multi-Objective Optimization using Evolutionaiy Algorithms, John Wiley & Sons, Chichester. UK. (2001).
11. Kennedy, J. and Eberhart, R. C.: Swarm Intelligence. San Mateo. CA: Morgan Kaufmann(2001).
12. Parsopoulos, K.E. and Vrahatis, M.N.: Recent approaches to Global Optimization Problems through Particle Swarm Optimization. Natural Comput., 1 (2002). 235-306.
13. Janga Reddy, M. and Nagesh Kumar, D.: Multi reservoir operation using particle swarm optimization. Proc. of Intl. Conf. on Hydrological Perspectives for Sustainable Development (HYPESD-2005), IIT Roorkee. India, 2 (2005). 556-564.
14. Li, X.: "A nondominated sorting particle swarm optimizer for multiobjective optimization, "in Lecture Notes in Computer Science, vol. 2723. Proc. Genetic and Evolutionaiy Computation-GECCO 2003-Part I, E. Cantu-Paz et al, Eds.. Berlin. Germany, (2003), 37-48.
15. Coello Coello, C.A., Pulido, G.T. and Lechuga, M.S.: Handling Multiple Objectives with Particle Swarm Optimization. IEEE Trans. Evol. Comput.. 8 (2004). 256-279.
16. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T.: A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II. IEEE Trans. Evol. Comput., 6 (2002) 182-197.
17. Knowles, J. D. and Come, D.W.: Approximating the nondominated front using the Pareto archived evolution strategy. Evol. Comput.. 8 (2000). 149-172.