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Application of Bio-inspired Genetic Algorithm: A Case Study
Journal
Lecture Notes in Civil Engineering
ISSN
23662557
Date Issued
2022-01-01
Author(s)
Poojitha, S. N.
Singh, Gagandeep
Jothiprakash, V.
Abstract
The paper presents the application of a bio-inspired evolutionary algorithm, a genetic algorithm (GA) for designing water distribution networks optimally. Six different models of GA are presented considering three different selection mechanisms, truncation, tournament and roulette wheel method, and their respective models with or without elitism operator. A real-life case study, the Gunsa water distribution network (GWD), in Silvassa city of Dadar and Nagar Haveli, the Union territory of India is considered for validating the developed models. On the application of the GA models to GWD, it is found that all the GA models are efficient in converging to an optimal cost. It is found that for all the models developed, the average optimal cost in 50 trials is found to have no much difference from the optimal cost. The computational results suggest that though the GA models are successful in reaching to the optimal cost they are less reliable considering the successful trials out of 50. From the analysis results, the study suggests for a more reliable model of GA with both solution precision and reliability, with more success rate.
Volume
207
Subjects