Journal ArticleDOI
Optimal Design of Water Distribution Systems Using an NLP Method
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In this paper, a nonlinear programming approach using the successive quadratic programming optimization technique is developed for the optimal design of a pipeline network for water supply systems, which eliminates the equality constraints describing the hydraulics by a suitable choice of dependent and independent variables.Abstract:
In this study, a nonlinear programming approach using the successive quadratic programming optimization technique is developed for the optimal design of a pipeline network for water supply systems. The proposed method eliminates the equality constraints describing the hydraulics by a suitable choice of dependent and independent variables. The dependent variables are chosen based on graph theoretic decomposition of the network structure. This makes it possible to compute analytically the reduced constraints, objective function gradients, and reduced Hessian in a very efficient manner. This method of decomposition ensures that the nodal and loop balances are exactly satisfied and is robust for any initial starting point, able to handle incorrect initial flow directions. The method gives solutions comparable to the previous optimal solutions for the design of new as well as expansion of existing water distribution networks.read more
Citations
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Journal ArticleDOI
Water Distribution Network Design Optimization: Simulated Annealing Approach
TL;DR: In this article, a simulated annealing-based heuristic was developed to obtain the least-cost design of a looped water distribution network, where a Newton search method was used to solve the hydraulic network equations.
Journal ArticleDOI
Genetic algorithms for the design of looped irrigation water distribution networks
Juan Reca,Juan Martínez +1 more
TL;DR: In this paper, a new computer model called Genetic Algorithm Pipe Network Optimization Model (GENOME) has been developed with the aim of optimizing the design of new looped irrigation water distribution networks.
Journal ArticleDOI
Parametric study for an ant algorithm applied to water distribution system optimization
TL;DR: Although AS/sub i-best/ does not perform as well as other algorithms from the literature for the Hanoi Problem, it successfully finds the known least cost solution for the larger Doubled New York Tunnels Problem.
Journal ArticleDOI
Application of two ant colony optimisation algorithms to water distribution system optimisation
Aaron C. Zecchin,Angus R. Simpson,Holger R. Maier,Michael Leonard,Andrew J. Roberts,Matthew J. Berrisford +5 more
TL;DR: The sophistication of MMAS is shown to be effective as it outperforms AS and performs better than any other HDN in the literature for both case studies considered.
Journal ArticleDOI
Design of water distribution networks using particle swarm optimization
C. R. Suribabu,T. R. Neelakantan +1 more
TL;DR: Application of particle swarm optimization (PSO) is demonstrated through design of a water distribution pipeline network and shows that the PSO is more efficient than other optimization methods as it requires fewer objective function evaluations.
References
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Book
Graph Theory with Applications to Engineering and Computer Science (Prentice Hall Series in Automatic Computation)
TL;DR: This outstanding introductory treatment of graph theory and its applications has had a long life in the instruction of advanced undergraduates and graduate students in all areas that require knowledge of this subject.
Journal ArticleDOI
Design of optimal water distribution systems
E. Alperovits,Uri Shamir +1 more
TL;DR: In this paper, a method called linear programing gradient (LPG) is presented, by which the optimal design of a water distribution system can be obtained, by means of linear programming.
Journal ArticleDOI
A two‐phase decomposition method for optimal design of looped water distribution networks
Okitsugu Fujiwara,Do Ba Khang +1 more
TL;DR: In this article, a two-phase decomposition method is proposed for the optimal design of new looped water distribution networks as well as for the parallel expansion of existing ones, where the main feature of the method is that it generates a sequence of improving local optimal solutions.
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