Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Birmingham : A - Electronic, Electrical and computer engineering
Grid Implementation of a Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution Systems: Chojnice Case Study
The paper investigated an important practical problem of optimally placing chlorination booster stations throughout the water distribution system. In order to optimally place booster stations in the water network, allowing for variables such as uncertainly in demand, a significantly enhanced formulation of the problem using multiobjective optimisation together with the genetic distributed solver was developed. Uniquely, a computer grid implementation of the solver was also implemented demonstrating that the new algorithm produces required approximation of the Pareto front much faster than a single machine. The new method and the solver were applied to the water system at Chojnice, northern Poland.
