Reservoir Operating by Ant Colony Optimization for Continuous Domains (ACOR) Case Study: Dez Reservoir
A direct search approach to determine optimal reservoir operating is proposed with ant colony optimization for continuous domains (ACOR). The model is applied to a system of single reservoir to determine the optimum releases during 42 years of monthly steps. A disadvantage of ant colony based methods and the ACOR in particular, refers to great amount of computer run time consumption. In this study a highly effective procedure for decreasing run time has been developed. The results are compared to those of a GA based model.
[1] Abbaspour, K. C., Schulin, R. & Van Genuchten, M. T. (2001).
"Estimating unsaturated soil hydraulic parameters using ant colony
optimization", Adv. Water Resour., 24(8), 827-841.
[2] Box, G.E.P., Muller, M.E., 1958. "A note on the generation of random
normal deviates", Annals of Mathematical Statistics 29 (2), 610-611.
[3] Dorigo, M., Stűtzle, T., 2004. "Ant colony optimization", MIT Press,
Cambridge, MA, ch. 3.
[4] Holland, j.H., 1975, "Adaptation in natural and artificial systems", Ann
Arbor, MI: MIT Press.
[5] Lin, S., Kernighan B. W.,(1971), "An effective heuristic algorithm for
the traveling-salesman problem", Oper. Res. 21,498-516.
[6] Maier, H. R., Simpson, A. R., Zecchin, A. C., Foong, W. K., Phang, K.
Y., Seah, H. Y. & Tan, C. L. (2003). "Ant colony optimization for
design of water distribution systems", J Water Resour Plan Manage.,
129(3): 200-209.
[7] Momtahen, Sh., and Dariane, A. B., (2007), "Direct search approaches
using genetic algorithms for optimization of water reservoir pperating
policies", Journal of water resources planning and management. pp. 202-
209.
[8] Mortazavi Naeini, S. M., (2006), "Application of stochastic-heuristic
methods in optimum water resources operation (in Persian)", Master
thesis, K. N. Toosi University of Technology, Iran.
[9] M├╝hlenbein, H., and Schlierkamp-Voosen, D., (1993), Predictive
Models for the Breeder Genetic Algorithm: I. Continuous Parameter
Optimization. Evolutionary Computation, 1 (1), pp. 25-49.
[10] Nagesh Kumar D., and Janga Reddy M., (2006), "Ant colony
optimization for multi-purpose reservoir operation", Water Resources
Management 20: 879-898.
[11] Pohlheim, H., (2005), "GEATbx Introduction evolutionary algorithms:
overview, methods, and operators", Documentation for: GEATbx
version 3.7 (Genetic and Evolutionary Algorithm Toolbox for use with
Method). [online]. Available: http://www.geatbx.com
[12] Shouju Li, Yingxi Liu, and He Yu., (2006), "Parameter Estimation
Approach in Groundwater Hydrology Using Hybrid Ant Colony
System", Irwin (Eds.): ICIC 2006, LNBI 4115, pp. 182 - 191.
[13] Socha, K., and Dorigo, M., (2006), "Ant colony optimization for
continuous domains", European Journal of Operational Research, in
press.
[14] Weise, T., (2007), Global Optimization Algorithms - Theory and
Application. (online). ch. 1. Available: http://www.it-weise.de
[1] Abbaspour, K. C., Schulin, R. & Van Genuchten, M. T. (2001).
"Estimating unsaturated soil hydraulic parameters using ant colony
optimization", Adv. Water Resour., 24(8), 827-841.
[2] Box, G.E.P., Muller, M.E., 1958. "A note on the generation of random
normal deviates", Annals of Mathematical Statistics 29 (2), 610-611.
[3] Dorigo, M., Stűtzle, T., 2004. "Ant colony optimization", MIT Press,
Cambridge, MA, ch. 3.
[4] Holland, j.H., 1975, "Adaptation in natural and artificial systems", Ann
Arbor, MI: MIT Press.
[5] Lin, S., Kernighan B. W.,(1971), "An effective heuristic algorithm for
the traveling-salesman problem", Oper. Res. 21,498-516.
[6] Maier, H. R., Simpson, A. R., Zecchin, A. C., Foong, W. K., Phang, K.
Y., Seah, H. Y. & Tan, C. L. (2003). "Ant colony optimization for
design of water distribution systems", J Water Resour Plan Manage.,
129(3): 200-209.
[7] Momtahen, Sh., and Dariane, A. B., (2007), "Direct search approaches
using genetic algorithms for optimization of water reservoir pperating
policies", Journal of water resources planning and management. pp. 202-
209.
[8] Mortazavi Naeini, S. M., (2006), "Application of stochastic-heuristic
methods in optimum water resources operation (in Persian)", Master
thesis, K. N. Toosi University of Technology, Iran.
[9] M├╝hlenbein, H., and Schlierkamp-Voosen, D., (1993), Predictive
Models for the Breeder Genetic Algorithm: I. Continuous Parameter
Optimization. Evolutionary Computation, 1 (1), pp. 25-49.
[10] Nagesh Kumar D., and Janga Reddy M., (2006), "Ant colony
optimization for multi-purpose reservoir operation", Water Resources
Management 20: 879-898.
[11] Pohlheim, H., (2005), "GEATbx Introduction evolutionary algorithms:
overview, methods, and operators", Documentation for: GEATbx
version 3.7 (Genetic and Evolutionary Algorithm Toolbox for use with
Method). [online]. Available: http://www.geatbx.com
[12] Shouju Li, Yingxi Liu, and He Yu., (2006), "Parameter Estimation
Approach in Groundwater Hydrology Using Hybrid Ant Colony
System", Irwin (Eds.): ICIC 2006, LNBI 4115, pp. 182 - 191.
[13] Socha, K., and Dorigo, M., (2006), "Ant colony optimization for
continuous domains", European Journal of Operational Research, in
press.
[14] Weise, T., (2007), Global Optimization Algorithms - Theory and
Application. (online). ch. 1. Available: http://www.it-weise.de
@article{"International Journal of Architectural, Civil and Construction Sciences:58410", author = "A. B. Dariane and A. M. Moradi", title = "Reservoir Operating by Ant Colony Optimization for Continuous Domains (ACOR) Case Study: Dez Reservoir", abstract = "A direct search approach to determine optimal reservoir operating is proposed with ant colony optimization for continuous domains (ACOR). The model is applied to a system of single reservoir to determine the optimum releases during 42 years of monthly steps. A disadvantage of ant colony based methods and the ACOR in particular, refers to great amount of computer run time consumption. In this study a highly effective procedure for decreasing run time has been developed. The results are compared to those of a GA based model.
", keywords = "Ant colony optimization, continuous, metaheuristics,
reservoir, decreasing run time, genetic algorithm.", volume = "2", number = "7", pages = "162-5", }
