Output details

Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm-II

<12> This discusses multi-objective optimisation with non-dominated sorting Genetic Algorithm-II (NSGA-II), applied to the rehabilitation of water distribution networks. NSGA-II eliminates the shortcomings which afflicts multi-objective optimal rehabilitation models with one fitness value of conventional GAs. The algorithm convergence has been improved, and it can give more feasible and better solutions. The work resulted from previous research collaboration between Staffordshire University and Harbin Institute of Technology, funded by a ‘China-UK Science Networking’ grant from the Royal Society. Optimised rehabilitation plays an important role in the efficient management of networks for distributing water, which is essential for life on earth.