A method for assessing the performance of genetic algorithm optimization for water distribution design
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(Accepted version)
Date
2011
Authors
Zheng, F.
Simpson, A.
Zecchin, A.
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Conference paper
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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
Statement of Responsibility
Feifei Zheng, Angus R. Simpson and Aaron C. Zecchin
Conference Name
Water Distribution Systems Analysis Conference (12th : 2010 : Tucson, AZ)
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.
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© 2010 American Society of Civil Engineers