Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/80267
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Type: Conference paper
Title: A method for assessing the performance of genetic algorithm optimization for water distribution design
Author: Zheng, F.
Simpson, A.
Zecchin, A.
Citation: Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010, Tucson, Arizona, United States, 12 Sep-15 Sep 2010 /Kevin E. Lansey, Christopher Y. Choi, Avi Ostfeld and Ian L. Pepper (eds.) pp. 771-785
Publisher: American Society of Civil Engineers
Publisher Place: Reston, VA
Issue Date: 2011
ISBN: 9780784412039
Conference Name: Water Distribution Systems Analysis Conference (12th : 2010 : Tucson, AZ)
Statement of
Responsibility: 
Feifei Zheng, Angus R. Simpson and Aaron C. Zecchin
Abstract: The paper proposes a new methodology for assessing the effectiveness of GA parameters in consistently finding similar low cost solutions over a broad range of different starting random number seeds. The method involves testing the parameters of probabilities of crossover (for various crossover types) and probabilities of bitwise mutation with 1000 different random number seeds. In addition, this methodology allows different varieties of GA to be compared so that the methodology with the best performance can be determined. The proposed methodology has been verified for its effectiveness on the previously published benchmark network New York Tunnels Problem.
Keywords: Genetic algorithm; water distribution systems; crossover scheme; probability of crossover; probability of mutation
Rights: © 2010 American Society of Civil Engineers
RMID: 0020112508
DOI: 10.1061/41203(425)72
Appears in Collections:Civil and Environmental Engineering publications

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