Application of Genetic Immune Algorithm on Solving Disinfection Problem of Water Distribution Network System

摘要

This paper presents the methodology and application of genetic immune algorithms (GIA) on solving optimal scheduling of booster disinfection problems in a water distribution network system (WDNS). The objective of this study is to initiate a total chlorination dose to satisfy the minimum and maximum required chlorine residual at every demand node in a WDNS while minimizing the chlorine consumption as much as possible. The performance of GIA is evaluated using a well-known benchmark WDNS booster disinfection case study. The comparison results indicate that GIA is able to find solutions comparable to the best solutions published in the literature.