Using Genetic Algorithms to Rehabilitate Distribution Systems

Computer-assisted technology enables water utilities to quickly find the best- and most cost-effective-solutions for rehabilitating water infrastructure systems.

[1]  I. C. Goulter,et al.  Systems Analysis in Water‐Distribution Network Design: From Theory to Practice , 1992 .

[2]  Kalyanmoy Deb,et al.  RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.

[3]  Paul F. Boulos,et al.  Explicit calculation of pipe-network parameters , 1990 .

[4]  Graeme C. Dandy,et al.  Genetic algorithms compared to other techniques for pipe optimization , 1994 .

[5]  Paul F. Boulos,et al.  Optimal Design and Rehabilitation of Water Distribution Systems , 2000 .

[6]  Thomas M. Walski,et al.  State-of-the-Art Pipe Network Optimization , 1985 .

[7]  Thomas M. Walski.  Making Water System Rehabilitation Decisions , 1986 .

[8]  James P. Heaney,et al.  Robust Water System Design with Commercial Intelligent Search Optimizers , 1999 .

[9]  Dragan Savic,et al.  Genetic Algorithms for Least-Cost Design of Water Distribution Networks , 1997 .

[10]  Maria da Conceição Cunha,et al.  Water Distribution Network Design Optimization: Simulated Annealing Approach , 1999 .

[11]  P. Boulos,et al.  Discrete Volume‐Element Method for Network Water‐Quality Models , 1993 .

[12]  Ian C. Goulter,et al.  Optimal urban water distribution design , 1985 .

[13]  Thomas M. Walski,et al.  Optimization and Pipe-Sizing Decisions , 1995 .

[14]  Dragan Savic,et al.  WATER NETWORK REHABILITATION WITH STRUCTURED MESSY GENETIC ALGORITHM , 1997 .

[15]  Paul F. Boulos,et al.  On the solvability of water distribution networks with unknown pipe characteristics , 1993 .

[16]  John W. Labadie,et al.  Optimal Design of Water-Distribution Networks with GIS , 1996 .