Designing wastewater collection systems using genetic algorithms

Authors:
Lou Y. Liang;Russell G. Thompson;David M. Young
Affiliations:
Department of Civil and Environmental Engineering, The University of Melbourne, Victoria, Australia;Department of Civil and Environmental Engineering, The University of Melbourne, Victoria, Australia;Department of Civil and Environmental Engineering, The University of Melbourne, Victoria, Australia
Venue:
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Year:
2000

Citing 3
Cited 0

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Abstract

This paper presents procedures that automate the design of wastewater collection systems. The application of these procedures in determining the optimal configuration of pipeline networks design is described. Genedc algorithms (GA) are used to identify good feasible pipeline networks. GA use a number of operators including, reproduction, crossover and mutation to solve complex search and optimization problems. A number of hydraulic criteria are incorporated as constraints within the modeling procedures. The purpose of these procedures is to automatically generate construction cost information and related pipe data for designing pipeline networks. The objective of the model is to minimize the overall cost of constructing a wastewater collection system.