A method for assessing the performance of genetic algorithm optimization for water distribution design

Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010

Volumn , Issue , 2012, Pages 771-785

  Zheng, Feifei ^a   Simpson, Angus R ^a   Zecchin, Aaron C ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

crossover scheme; Genetic algorithm; probability of crossover; probability of mutation; water distribution systems

Indexed keywords

BENCHMARK NETWORKS; CROSSOVER SCHEME; GENETIC-ALGORITHM OPTIMIZATIONS; LOW-COST SOLUTION; NEW YORK; RANDOM NUMBERS; WATER DISTRIBUTIONS;

PARAMETER ESTIMATION; PROBABILISTIC LOGICS; PROBABILITY; SYSTEMS ANALYSIS; WATER DISTRIBUTION SYSTEMS;

GENETIC ALGORITHMS;

EID: 84856135037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41203(425)72     Document Type: Conference Paper

References (20)

1. Alperovits, E., and Shamir, U. (1977). "Design of Water Distribution Systems." Water Resources Research, 13(6), 885-900.
2. Cunha, M. C., and Sousa, J (2001). "Hydraulic Infrastructures Design Using Simulated Annealing." Journal of Infrastructure Systems, 7(1), 32-38.
3. Dandy, G. C., Simpson, A. R., and Murphy, L. J. (1996). "An improved genetic algorithm for pipe network optimization." Water Resources Research, 32(2), 449-457.
4. Deb, K. (2001). Multi-objective optimization using evolutionary algorithm, Wiley, London.
5. Eusuff. M. M., and Lansey. K. E. (2003). "Optimisation of water distribution network design using shuffled frog leaping algorithm." J. Water Resources Planning and Management, 129(3), 210-225.
6. Fujiwara, O., and Khang, D. B. (1990). "A two-phase decomposition method for optimal design of looped water distribution networks." Water Resource Res., 23(6), 977-982.
7. Goldberg, D, E., and Kuo, C. H. (1987). "Genetic algorithm in pipeline optimization." J. Comput. Civ. Eng., 1(2), 128-141.
8. Goldberg, D, E., and Koza, J. R. (1990). "Genetic algorithm in search, optimization and machine learning." Workshop notes, Computer Science Department, Stanford University, August 6-10.
9. Goldberg D. E. (1991). "Real-coded genetic algorithms, virtual alphabets, and blocking." Complex Systems, 5(2), 139-167.
10. Goldberg D. E., and Deb, K (1991). "A comparison of selection schemes used in genetic algorithms." In foundations of genetic algorithm 1 (FOGA-1), pp. 69-93.
11. Goldberg, D. E (1989). Genetic algorithm in search, optimization and machine learning. Reading, MA: Addison-Wesley.
12. Maier, H. R., et al. (2003). "Ant colony optimization for the design of water distribution systems." J. Water Resources Planning and Management, 129(3), 200-209.
13. Murtagh, B. A., and Saunders, M. A. (1987). MINOS 5.1 Users guide. Systems Optimization Lab, Dept of Operational Research, Stanford University, Stanford, Calif.
14. Quindry, G. E., and Liebman, J. C. (1981). "Optimization of Looped Water Distribution Systems." J. Environmental Engineering, Div. Am. Soc. Civ. Eng., 107 (EE4).
15. Simpson, A. R., Dandy, G. C., and Murphy, L. J. (1994). "Genetic algorithms compared to other techniques for pipe optimization." J. Water Resources Planning and Management, 120(4), 423-443.
16. Savic, D. A., and Waters G.A. (1997). "Genetic Algorithms for least-cost design of water distribution networks." J. Water Resource Planning and Management, 123(2), 67-77.
17. Vairavamoorthy, K., and Ali, M. E. (2000). "Optimal Design of water distribution systems using genetic algorithms." Computer-aided Civil and Infrastructure Engineering, 15(2), 374-382.
18. Vairavamoorthy, K., and Ali, M. E. (2005). "Pipe index vector: A method to improve genetic-algorithm-based pipe optimization." J. Hydraul. Eng., 131(12), 1117-1125.
19. Wu, Z. Y., Boulos, P. F., Orr, C. H., and Ro, J.J. (2001). "Using genetic algorithms to rehabilitate distribution systems." J. Am. Water Works Assoc., 93(11),74-85.
20. Zecchin, A. C., Simpson, A. R., and Maier, H. R. (2005). "Application of two ant colony optimization algorithms to water distribution system optimization." Mathematical and Computer Modelling, 44, 451-668.