Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm
Publication: Journal of Water Resources Planning and Management
Volume 129, Issue 3
Abstract
Shuffled Frog Leaping Algorithm (SFLA) is a meta-heuristic for solving discrete optimization problems. Here it is applied to determine optimal discrete pipe sizes for new pipe networks and for network expansions. SFLA is a population based, cooperative search metaphor inspired by natural memetics. The algorithm uses memetic evolution in the form of infection of ideas from one individual to another in a local search. The local search is similar in concept to particle swarm optimization. A shuffling strategy allows for the exchange of information between local searches to move toward a global optimum. This paper summarizes the development of SFLANET, a computer model that links SFLA and the hydraulic simulation software EPANET and its library functions. Application of SFLANET to literature network design problems is then described. Although the algorithm is in its initial stages of development, promising results were obtained.
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Information
Published In
Journal of Water Resources Planning and Management
Volume 129 • Issue 3 • May 2003
Pages: 210 - 225
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Mar 6, 2001
Accepted: Feb 27, 2002
Published online: Apr 15, 2003
Published in print: May 2003
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