Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks

Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing interest in multi-objective genetic algorithms that allow engineers a set of choices when implementing a solution. A choice of solutions is vital to help engineers understand the problem and in real world scenarios where budgets and requirements are flexible. This paper discusses the use of a local search procedure to speed up the convergence of a multiobjective algorithm and reports results on a real water distribution optimisation problems. This increase in efficiency is especially important in the water network optimisation field as the simulation of networks can be prohibitively expensive in computational terms.

• Type: Conference
• Year: 2004
• Where: GECCO
• Authors: Ed Keedwell, Soon-Thiam Khu
• Keywords: Engineers Optimising Water, GECCO 2004, Genetic Algorithms, Water Distribution