Honey-Bee Mating Optimization (HBMO) algorithm for optimal design of water distribution systems

World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008

Volumn 316, Issue , 2008, Pages

  Jahanshahi, Golnaz ^a   Haddad, Omid Bozorg ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Algorithms; Optimization; Water distribution systems

Indexed keywords

EPANET SOFTWARE; HONEY-BEE MATING OPTIMIZATION; HYDRAULIC SIMULATION; MATING BEHAVIOR; META HEURISTIC ALGORITHM; NEAR-OPTIMAL SOLUTIONS; NEW YORK; OPTIMAL DESIGN; OPTIMIZATION ALGORITHMS; OPTIMIZATION METHOD; PRESSURE HEADS; SEARCH-BASED; TOTAL INVESTMENT; VELOCITY LIMIT; WATER DISTRIBUTIONS;

COMPUTER SIMULATION; COMPUTER SOFTWARE; CONVERGENCE OF NUMERICAL METHODS; DESIGN; FOOD PRODUCTS; HEURISTIC ALGORITHMS; INVESTMENTS; LOCAL AREA NETWORKS; OPTIMAL SYSTEMS; OPTIMIZATION; WATER DISTRIBUTION SYSTEMS; WATER RESOURCES;

EVOLUTIONARY ALGORITHMS;

EID: 79251501993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40976(316)496     Document Type: Conference Paper

References (33)

1. Abbaspour,L.C.,Schulin, R., and Van Genachler, M.T.,(2001). "Estimating unsaturated soil hydraulic parameters using ant colony optimization."Adv.Water Resour.,24(8),827-841
2. Alperovits, E. and Shamir, U.,(1977)."Design of optimal water distribution systems." Water Resources Research, 13(6), 885-900.
3. Afshar, O. Bozorg Haddad, M.A. Marino, B.J. Adams, (2006). "Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation", Journal of the Franklin Institute.
4. Bozorg Hadad, O., (2005). "Optimization of hydro systems through HBMO algorithm". PhD dissertation. Iran University of Science and Technology (IUST).
5. Centre for Water Systems (CWS). Benchmark networks for design and optimization of water distribution networks, University of Exeter, Exeter, U.K. (2007) (http://www.exeter.ac.uk/cws/benchmarks)
6. Costa, A. L. H., Medeiros, J. L. and Pessoa, F. L. P., (2000)."Optimization of pipe networks including pumps by simulated annealing." Brazilian Journal of Chemical Engineering, 17(4-7), 887-896.
7. Cunha, M. C. and Sousa, J., (1999)."Water distribution network design optimization: simulated annealing approach." Journal of Water Resources Planning and Management, ASCE, 125(4), 215-221.
8. Cunha, M. C. and Sousa, J.( 2001). "Hydraulic infrastructures design using simulated annealing". Journal of Infrastructure Systems, ASCE, 7(1), 32-39.
9. Dandy, G. C., Simpson, A. R. and Murphy, L. J. (1996). "An improved genetic algorithm for pipe network optimization". Water Resources Research, 32(2), 449-458.
10. Dorigo, M., and Di Caro, G. (1999). "The ant colony optimization metaheuristic." New ideas in optimization, D. Corne, M. Dorigo, and F.Glover, eds., McGraw-Hill, London, 11-32.
11. Dorigo, M., Maniezzo, V., and Colorni, A. (19960. "The ant system: optimization by a colony of cooperating ants." IEEE Trans. Syst. ManCybern., 26, 29-42.
12. Eusuff, M. M., and Lansey, K. E. (2000). "Shuffled frog leaping algorithm: a memetic meta-heuristic for combinatorial optimization." J.Heuristics, in press.
13. Fujiwara, O. and Kang, D. B., (1990)."A two-phase decomposition method for optimal design of looped water distribution networks." Water Resources Research, 26(4), 539-549.
14. Geem, Z. W., Kim, J. H. and Loganathan, G. V. (2001), "A new heuristic optimization algorithm: harmony search. Simulation, 76(2), 60-68.
15. Gessler, J. (1985). "Pipe network optimization by enumeration." Proc., Special Conf. on Computer Applications/Water Resources, ASCE, New York, 572-581.
16. Glover, f. (1993). "A user's guide to tabu search", Annals of Operations Research, 41, 3-28.
17. Glover, f., and Loguna, M. (1993). Tabu Search, Chater in Modern Heuristic Techniques For Combinatorial Problems, C. Reeves ed., Blackwell Scientific Research, 41, 3-28.
18. Goulter, I. C., Lussier, B. M. and Morgan, D. R. (1986), "Implications of head loss path choice in the optimization of water distribution networks." Water Resources Research, 22(5), 819-822.
19. Holger R. Maier,et al. (2003)."Ant Colony Optimization for Design of Water Distribution System"Journal of Water Resources Planning and Management,Vol. 129, No. 3.
20. Kessler, A. and Shamir, U., (1989)."Analysis of the linear programming gradient method for optimal design of water supply networks." Water Resources Research, 25(7),1469-1480.
21. Lippai, I., Heaney, J. P. and Laguna, M. (1999). Robust water system design with commercial intelligent search optimizers. Journal of Computing in Civil Engineering, ASCE, 13(3), 135-143.
22. Montesinos, P., Garcia-Guzman, A. and Ayuso, J. L., (1999)."Water distribution network optimization using a modified genetic algorithm. Water Resources Research, 35(11), 3467-3473.
23. Murphy, L. J., Simpson, A. R., and Dandy, G. C. (1993). "Pipe network optimization using an improved genetic algorithm." Research Rep. No.R109, Dept. of Civil and Environment Engineering, Univ. of Adelaide,Australia.
24. Muzaffar M. Eusuff,et al. (2003). "Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm" Journal of Water Resources Planning and Management,Vol. 129, No. 3.
25. Morgan, G. R., and Goulter, I. C. (1985). "Optimal urban water distribution design." Water Resour. Res., 21(5), 642-652.
26. Quindry, G. E., Brill, E. D. and Liebman, J. C., (1981). "Optimization of looped waterdistribution systems." Journal of Environmental Engineering Division, ASCE, 107(EE4), 665-679.
27. Raziyeh Farmani, et al. (2005). "Self-Adaptive Fitness Formulation for Evolutionary Constrained Optimization of Water Systems"Journal of Computing in Civil Engineering, Vol. 19, No. 2,
28. Rossman, L. A. EPANET users manual, 1994 (US Environmental Protection Agency: Cincinnati, OH).
29. Savic, D. A. and Walters, G. A. (1997). "Genetic algorithms for least-cost design of water distribution networks". Journal of Water Resources Planning and Management, ASCE, 123(2), 67-77.
30. Schaake, J. and Lai, D. (1969). "Linear programming and dynamic programming - application of water distribution network design". Report 116, (MIT Press: Cambridge, MA).
31. Simpson, A. R., Dandy, G. C. and Murphy, L. J., (1994)."Genetic algorithms compared to other techniques for pipe optimization." Journal of Water Resources Planning and Management, ASCE, 120(4), 423-443.
32. Vairavamoorthy, K., and Ali, M. (2000). "Optimal design of water distribution systems using genetic algorithms." Comput. Aided Civ. Infrastruct. Eng., 15, 374-382.
33. Wu, Z. Y., Boulos, P. F., Orr, C. H., and Ro, J. J (2001). "Using genetic algorithm to rehabilitate distribution systems." J. Am. Water Works Assoc., 93(11), 74-85.