Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 958650, 8 pages
http://dx.doi.org/10.1155/2014/958650
Research Article

Impact of New Water Sources on the Overall Water Network: An Optimisation Approach

Department of Applied Mathematics, National University of Science & Technology, P.O. Box AC939 Ascot, Bulawayo, Zimbabwe

Received 21 July 2014; Accepted 19 August 2014; Published 29 October 2014

Academic Editor: Francisco W. S. Lima

Copyright © 2014 Godfrey Chagwiza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. C. Dandy, A. R. Simpson, and L. J. Murphy, “An improved genetic algorithm for pipe network optimization,” Water Resources Research, vol. 32, no. 2, pp. 449–458, 1996. View at Publisher · View at Google Scholar · View at Scopus
  2. D. A. Savic and G. A. Walters, “Genetic algorithms for least-cost design of water distribution networks,” Journal of Water Resources Planning and Management, vol. 123, no. 2, pp. 67–77, 1997. View at Publisher · View at Google Scholar · View at Scopus
  3. I. Lippai, J. P. Heaney, and M. Laguna, “Robust water system design with commercial intelligent search optimizers,” Journal of Computing in Civil Engineering, vol. 13, no. 3, pp. 135–143, 1999. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. Y. Wu, P. F. Boulos, C. H. Orr, and J. J. Ro, “Rehabilitation of water distribution system using genetic algorithm,” Journal for American Water Works Association, vol. 93, no. 11, pp. 74–85, 2001. View at Google Scholar
  5. H. R. Maier, A. R. Simpson, A. C. Zecchin et al., “Ant colony optimization for design of water distribution systems,” Journal of Water Resources Planning and Management, vol. 129, no. 3, pp. 200–209, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. M. da Conceição Cunha and J. Sousa, “Water distribution network design optimization: simulated annealing approach,” Journal of Water Resources Planning and Management, vol. 125, no. 4, pp. 215–221, 1999. View at Publisher · View at Google Scholar · View at Scopus
  7. M. S. M. Kumar and G. R. Munallavi, “Autocalibration of chlorine transport for steady state distribution by genetic algorithm,” in Proceedings of the 7th International Water Technology Conference, pp. 495–506, Cairo, Egypt, March 2003.
  8. A. C. Zecchin, H. R. Maier, A. R. Simpson, A. J. Roberts, M. J. Berrisford, and M. Leornard, “Max-min ant system applied to water distribution system optimisation,” in Proceedings MODSIM 2003: International Congress on Modelling and Simulation, pp. 795–800, Townsville, Queensland, Australia, July 2003.
  9. Bulawayo City Council (BCC), “Water report for the period January-December 2012,” Annual Water Report, Bulawayo City Council, Bulawayo, Zimbabwe, 2012. View at Google Scholar
  10. M. Dorigo and G. Di Caro, “New ideas in optimization,” in The Ant Colony Optimization Meta-Heuristic, pp. 11–32, McGraw-Hill, Maidenhead, UK, 1999. View at Google Scholar
  11. M. Dorigo, V. Maniezzo, and A. Colorni, “Ant system: Optimization by a colony of cooperating agents,” IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics, vol. 26, no. 1, pp. 29–41, 1996. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Dorigo and L. M. Gambardella, “Ant colony system: a cooperative learning approach to the traveling salesman problem,” IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 53–66, 1997. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Stützle and H. H. Hoos, “Max-min ant system,” Future Generation Computer Systems, vol. 16, no. 8, pp. 889–914, 2000. View at Publisher · View at Google Scholar · View at Scopus
  14. O. Cordon, I. F. de Viana, F. Herrera, and L. Moreno, in Proceedings of the 3rd International Workshop on Ant Algorithms (ANTS '00), pp. 22–29, 2000.
  15. B. Bullnheimer, R. F. Hartl, and C. Strauss, “A new rank based version of the ant system: a computational study,” Central European Journal of Operations Research, vol. 7, no. 1, pp. 25–38, 1999. View at Google Scholar · View at MathSciNet
  16. O. Cordón, F. Herrera, and T. Stützle, “A review on the ant colony optimization metaheuristic: basis, models and new trends,” Mathware and Soft Computing, vol. 9, no. 2-3, pp. 141–175, 2002. View at Google Scholar · View at MathSciNet
  17. A. Colorni, M. Dorigo, M. Maffioli, V. Maniezzo, G. Righini, and M. Trubian, “Heuristics from nature for hard combinatorial optimization problems,” International Transactions in Operational Research, vol. 3, no. 1, pp. 1–21, 1996. View at Google Scholar
  18. C. Almeder, “A hybrid optimization approach for multi-level capacitated lot-sizing problems,” European Journal of Operational Research, vol. 200, no. 2, pp. 599–606, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  19. D. Pinto and B. Baran, “Solving multiobjective multicast routing problem with a new ant colony optimization approach,” in Proceedings of the 2nd IFIP/ACM Latin American Networking Conference (LANC '05), pp. 11–19, Cali, Colombia, 2005.
  20. S. Sodsoon, “Max-min ant system for location-routing problems,” Suranaree Journal of Science and Technology, vol. 17, no. 4, pp. 321–334, 2010. View at Google Scholar
  21. M. R. Garey and D. S. Johnson, Computer and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman, San Fransisco, Calif, USA, 1979. View at MathSciNet
  22. M. Maur, M. Lopez-Iba, and T. Stutzle, “Pre-scheduled and adaptive parameter variation in max-min ant system,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '10), pp. 1–8, Barcelona, Spain, July 2010. View at Publisher · View at Google Scholar
  23. M. H. Afshar, “Elitist-mutated ant system versus max-min ant system: application to pipe network optimization problems,” Scientia Iranica, vol. 16, no. 4, pp. 286–296, 2009. View at Google Scholar · View at Scopus
  24. WHO, Calcium and Magnesium in Drinking-Water: Public Health Significance, World Health Organization, Geneva, Switzerland, 2009.
  25. WHO, “Hardness in drinking water,” World Health Organization, Geneva, Switzerland, WHO/HSE/WSH/10.01/10/Rev/1, 2011.
  26. Global Water Intelligence, IDA Desalination Yearbook 2008-2009, Global Water Intelligence, 2009.
  27. SPSS, SPSS Base 10.0 for Windows User's Guide, Chicago, Ill, USA, 1999.