Performance study of differential evolution with various mutation strategies applied to water distribution system optimization

World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress

Volumn , Issue , 2011, Pages 166-176

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

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Optimization; Water distribution systems

Indexed keywords

DE ALGORITHMS; DIFFERENTIAL EVOLUTION; HANOI PROBLEM; MATHEMATICAL OPTIMIZATION PROBLEMS; MUTATION STRATEGY; NEW YORK; OPTIMIZATION TECHNIQUES; PERFORMANCE STUDY; WATER DISTRIBUTIONS;

BEARINGS (STRUCTURAL); BIOLOGY; EVOLUTIONARY ALGORITHMS; LOCAL AREA NETWORKS; MATHEMATICAL OPERATORS; OPTIMIZATION; SUSTAINABLE DEVELOPMENT; WATER DISTRIBUTION SYSTEMS;

WATER RESOURCES;

EID: 79960432448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41173(414)18     Document Type: Conference Paper

References (18)

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. th Water Distribution System Analysis Symposium, Tucson, Arizona
5. Deb, K. (2000). "An efficient constraint handling method for genetic algorithms." J Comput. Methods Appl. Mech. Engrg., 186, 311-338.
6. 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.
7. Fujiwara, O., and Khang, D. B. (1990). "A two-phase decomposition method for optimal design of looped water distribution networks." Water Resources Research, 23(6), 977-982.
8. Geem, Z. W., Kim, J. H., and Loganathan, G. V. (2002). "Harmony search optimization: application to pipe network design". Int. J. Model. Simulat., 22(2), 125-133.
9. Karaboga, D., and Okdem, S. (2004). "A simple and global optimization algorithm for engineering problems: differential evolution algorithm." Turkish Journal of Electrical Engineering & Computing Science, 12(1), 53-60.
10. Liu, J., and Lampinen, J. (2005). "A Fuzzy Adaptive Differential Evolution Algorithm." Soft Computing-A Fusion of Foundations, Methodologies and Applications, 9(6), 448-462.
11. 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.
12. Murphy, L. J., and Simpson, A. R. (1992). "Pipe optimization using genetic algorithms." Research Report No. R93, Department of Civil Engineering, University of Adelaide.
13. Price, V. K., Storn, M. R., and Lampinen, A. J. (2005). Differential Evolution: A practical approach to global optimization, Springer, Berlin.
14. Reca, J., and Martinez, J. (2006). "Genetic Algorithms foe the design of looped irrigation water distribution networks." Water Resources Research, 42, W05416, doi:10.1029/2005WR004383.
15. Storn, R., and Price, K. (1995). "Differential Evolution-A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Space." Technical Report, International Computer Science Institute, Berkeley, CA.
16. Suribabu, C. R. (2010). "Differential evolution algorithm for optimal design of water distribution networks." Journal of Hydroinformatics, 12(1), 66-82.
17. Tolson, B. A., et al. (2009). "Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization". Water Resources Research, 45, W12416, doi:10.1029/ 2008WR007673.
18. Vasan, A., and Simonovic, S. P. (2010). "Optimization of Water Distribution Netowrk Design using Differential Evolution". J. Water Resource Planning and Management, 136(2), 279-287.