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GECCO
2004
Springer

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

12 years 7 months ago
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.
Ed Keedwell, Soon-Thiam Khu
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Ed Keedwell, Soon-Thiam Khu
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