Pipe Diameter Optimization using Genetic Algorithm- A Case Study | Zendy

M. P. P. Dhanaseela | Zendy; Tawatchai Tingsanchali | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Pipe Diameter Optimization using Genetic Algorithm- A Case Study

Author(s) -

M. P. P. Dhanaseela,

Tawatchai Tingsanchali

Publication year - 2008

Publication title -

engineer journal of the institution of engineers sri lanka

Language(s) - English

Resource type - Journals

eISSN - 2550-3219

pISSN - 1800-1122

DOI - 10.4038/engineer.v41i4.7095

Subject(s) - sri lanka , cover (algebra) , institution , section (typography) , checklist , engineering management , engineering , library science , engineering ethics , computer science , operations research , political science , geography , mechanical engineering , geology , environmental planning , law , paleontology , tanzania , operating system

A systematic study on the application of genetic algorithm (GA) in pipe diameter optimization was carried out. The aim of the study was to develop a genetic based programme and apply it to a case study, distribution system of Weligama water supply scheme. Then the performance of Genetic algorithm was compared with non linear programming (NLP). It was found that the genetic algorithm method using the standard three operators is particularly effective in finding global optimal solution for the case study network. It should be noted that the genetic algorithm technique is ideally suited to discrete problems such as selection of commercially availably pipe sizes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research