BibTeX:

@article{IJIRSTV3I7072,
     title={Review of Pipe Sizing Optimization by Genetic Algorithm},
     author={Kashfina Kapadia and Dr. Sandeep Narulkar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={7},
     pages={138--141},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I7072.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

A Genetic Algorithm (GA) is a method of solving both constrained and unconstrained optimization problems based on a natural selection process that mimics biological evolution. GA works on the Darwin’s principle of “Survival of fittest”. Initialization, crossover, mutation and selection are the operations of GA. Pipe sizing optimization is a NP hard constrained type of problem with discrete pipe diameters. Many researchers have tried to solve the problem of pipe sizing with Evolutionary optimization methods like Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Differential evolution, Shuffled Complex Evolution, Simulated Annealing, Memetic Algorithm, Tug of War, Water Cycle algorithm, Shuffled Frog Leaping Algorithm and Harmony Search method. A brief review has been carried out for use of Genetic Algorithm in Water Distribution Network and presented in this paper.

Optimization, Genetic Algorithm, Water Distribution Network (WDN)