An Optimization Approach on Seven Layers Water Filtration Plant Using Genetic Algorithm

This study gives a description about the development and optimization of water filtration process in a filter plant of a dam using genetic algorithm (GA) to the well known problem of least-cost design of the system. GA methodology is an evolutionary process, basically imitating evolution process of nature. GA optimization is also well suited for optimization of water distribution systems, especially large and complex systems. GA is essentially an efficient search method basically for nonlinear optimization cases. This paper envisages the optimization of seven layers of filter plant, supplying water to the city for daily consumption. The primary objective of this study is optimization of a water filtration distribution network by GA. The operators involved in the program algorithm are generation, selection, elitism, crossover and mutation. Multipoint crossover and higher rates are advisable. Also pressure penalty parameters are found to be much important than velocity parameters. Below pressure penalty parameter is the most important one and should be so many times higher than the other.