Optimal Design of Water Networks Using a Modified Genetic Algorithm with Reduction in Search Space
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 2
Abstract
The efficient and effective search for the optimum design solution of a water distribution network using genetic algorithms (GAs) is governed by several factors such as representation scheme, population size, hydraulic simulation model, fitness function, penalty method, GA operators, number of generations, and more importantly the size of the search space. This paper proposes a modified GA that uses basic operators along with their derivatives randomly. Further, a methodology based on critical path method is suggested to reduce the search space. A software tool, GA-WAT, based on the proposed methodology is developed and first tested and verified for its efficiency and effectiveness on two previously published single source networks. Later, it is applied to the optimal design of a larger, two-source hypothetical network. The results obtained indicate that the modified GA with reduction in search space proposed herein is more effective, especially for large practical networks.
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Acknowledgments
The writers are grateful to the reviewers for their constructive suggestions for improving the manuscript. The first writer wishes to thank the management of Shri. Ramdeobaba Kamla Nehru Engineering College, Nagpur–440 022, Maharashtra India, for granting permission to carry out the research work.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 134 • Issue 2 • March 2008
Pages: 147 - 160
Copyright
© 2008 ASCE.
History
Received: Feb 27, 2007
Accepted: Mar 16, 2007
Published online: Mar 1, 2008
Published in print: Mar 2008
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