Non-dominated archiving multi-colony ant algorithm for multi-objective optimization: Application to multi-purpose reservoir operation

Engineering Optimization

Volumn 41, Issue 4, 2009, Pages 313-325

  Afshar, A ^a   Sharifi, F ^a,b   Jalali, M R ^a,b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b Mahab Ghodss Consulting Engineering Co   (Iran)

Author keywords

Ant colony optimization (ACO); Multi colony; Multi objective optimization; Multi purpose reservoir operation

Indexed keywords

ANT ALGORITHMS; ANT COLONY OPTIMIZATION (ACO); ANT-COLONY OPTIMIZATION; BENCH-MARK PROBLEMS; HYDRO-POWER GENERATION; IRRIGATION WATER SUPPLY; MULTI OBJECTIVE; MULTI-COLONY; MULTI-PURPOSE; MULTI-PURPOSE RESERVOIR OPERATION; MULTIPLE CRITERIA DECISION MAKING; MULTIPLE OBJECTIVES; NONDOMINATED SOLUTIONS; NSGA-II ALGORITHM; NUMBER OF ITERATIONS; OFFLINE; OPERATING POLICIES; PARETO FRONT; REAL-WORLD; RESERVOIR OPERATION;

FLOOD CONTROL; HEURISTIC METHODS; ION EXCHANGE; IRRIGATION; RESERVOIRS (WATER); WATER CONSERVATION; WATER SUPPLY;

MULTIOBJECTIVE OPTIMIZATION;

EID: 70449569422     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150802460414     Document Type: Article

References (22)

1. Burn, D.H. and Yulianti, J., 2001. Waste load allocation using genetic algorithms. Journal of Water Resource Planning and Management, 127 (2), 121-127.
2. Deb, K., et al., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6 (2), 182-197.
3. Doerner, K., Hartl, R.F., and Reimann, M., 2001. Cooperative ant colonies for optimizing resource allocation in transportation. In: E.J.W. Boers et al., eds, Applications of Evolutionary Computing, LNCS 2037. Berlin: Springer Verlag, 70-79.
4. Doerner, K., Hartl, R.F., and Reimann, M., 2003. Compete ants for problem solving: the case of full truckload transportation. Central European Journal of Operations Research and Economics, 11 (2), 115-141.
5. Doerner, K., et al., 2004. Pareto ant colony optimization: a metaheuristic approach to multiobjective portfolio selection. Annals of Operations Research, 131 (1-4), 79-99.
6. Doerner, K., et al., 2006. Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection. European Journal of Operational Research, 171 (3), 830-841.
7. Dorigo, M. and Gambardella, L.M., 1997. Ant colony system: a cooperative learning approach to the traveling salesman problem, IEEE Transactions on Evolutionary Computation, 1 (1), 53-66.
8. Dorigo, M. and Stutzle, T., 2004. Ant colony optimization. Cambridge, MA: MIT Press.
9. Gambardella, L.M., Taillard, E.D., and Agazzi, G., 1999. MACS-VRPT: A multiple ant colony system with four vehicle routing problems with time windows. In:D. Corne, M. Dorigo, and F. Glover, eds. Newideas in optimization. London: McGraw-Hill, 63-76.
10. Jalali, M.R., Afshar, A., and Marino, M.A., 2006. Multi-reservoir operation by adaptive pheromone re-initiated ant colony optimization algorithm. International Journal of Civil Engineering, 5 (4), 284-331.
11. Jalali, M.R., Afshar, A., and Marino, M.A., 2007. Multi-colony ant algorithm for continuous multi-reservoir operation optimization problem. Water Resource Management, doi: 10.1007/s11269-006-9092-5. (Pubitemid 47278615)
12. Labadie, J.W., 2004. Optimal operation of multireservoir systems: State-of-the-art review. Journal of Water Resource Planning and Management, 130 (2), 98-106.
13. Lopez, M., Paquete L., and Stutzle, T., 2004. On the design of ACO for the bi-objective quadratic assignment problem. In: Proceedings of ANTS 2004, LNCS 3172, 5-8 September 2004, Brussels. Berlin: Springer-Verlag, 214-225.
14. Mahab Ghodss, C.E., 2002. Dez dam and power plant. Water resources planning report. Report no. 2363330/3000/444, Tehran, Iran.
15. Mariano, C.E. and Morales, E., 1998. A multiple objective ant-Q algorithm for the design of water distribution irrigation networks. Proceedings of First InternationalWorkshop on Ant Colony Optimization ANTS 98, Brussels, Belgium.
16. Oliveira, R. and Loucks, D.P., 1997. Operating rules for multi-reservoir systems. Water Resources Research, 33 (4), 839-852.
17. Sharifi, F. andAfshar, A., 2006. Multiobjective Optimization using Multi ColonyAntAlgorithm, Iran University of Science & Technology, Hydroinformatics Research Center. Report no. 160/5249, Tehran, Iran.
18. Teegavarapu, R.S.V. and Simonovic, S.P., 2000. Short-term operation model for coupled hydropower reservoirs. Journal Water Resource Planning and Management, 126 (2), 93-111.
19. Yeh, W.W.G., 1985. Reservoir management and operations models: a state-of-the-art review. Water Resource Research, 21 (12), 1797-1818.
20. Yui, L.S., Al-Fayyaz, T.A., and Sai, L.K., 2004. Application of evolutionary algorithm in reservoir operations. Journal of the Institution of Engineers, Singapore, 44 (1), 39-54.
21. Zio, E. and Zille,V., 2006. Multiobjective optimization of network systems by usingANT algorithms. Quality Technology and Quantitative Management, 4 (2), 211-224.
22. Zitzler, E., Deb, K., and Thiele, L., 2000. Comparison of multiobjective evolutionary algorithms: empirical results. Evolutionary Computation, 8 (2), 173-195.