Real-coded Genetic Algorithm Parameter Setting for Water Distribution System Optimisation

Real-coded Genetic Algorithm Parameter Setting for Water Distribution System Optimisation
Author :
Publisher :
Total Pages : 374
Release :
ISBN-10 : OCLC:446725987
ISBN-13 :
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Book Synopsis Real-coded Genetic Algorithm Parameter Setting for Water Distribution System Optimisation by : Matthew S. Gibbs

Download or read book Real-coded Genetic Algorithm Parameter Setting for Water Distribution System Optimisation written by Matthew S. Gibbs and published by . This book was released on 2008 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The management of Water Distribution Systems (WDSs) involves making decisions about various operations in the network, including the scheduling of pump operations and setting of disinfectant dosing rates. Optimisation methods known as Genetic Algorithms (GAs) have been successfully adopted to assist in determining the best possible solutions to WDS optimisation problems for a number of years. The result from the work undertaken in this thesis is a complete GA calibration methodology. Two methodologies are proposed and evaluated in this thesis, one that considers the selection pressure based on the characteristics of the fitness function, and another that is derived from the time to convergence based on genetic drift, and therefore does not require any information about the fitness function characteristics. The proposed methodologies have been compared against other GA calibration methodologies that have been proposed, as well as typical parameter values to determine the most suitable method to determine the GA parameter values. The comparison of the different calibration approaches demonstrates three main results: 1. that the proposed methodology produced the best results out of the different GA calibration methods compared; 2. that the proposed methodology can be applied in practice; and 3. that a correctly calibrated GA is very beneficial when solutions are required in a limited timeframe." -- From abstract.


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