Author(s)

P. Banovec, S. Šantl, R. Klasinc & F. Steinman

Abstract

Genetic algorithms supported analysis of water supply system development P. ~anovec', S. Santl', R. ~ l a s i n c ~ & I?. steinman' 'chair of Fluid Mechanics, Faculty of Civil and Geodetic Engineering, University of Ljubljana, Slovenia 2 ~ r a z University of Technology, Department of Hydraulic Structures and Water Resources Management, Austria Abstract The present-day water supply services have started to use decision-support tools in order to meet their customers' supply requirements on the one hand and to achieve economic efficiency on the other hand. These tools help the network management to find the best strategy, which will comprise the majority of influential parameters and determine the possible outcomes for each future event and intervention. Due to numerous optimising parameters, which influence the possible outcomes, an optimisation tool called genetic algorithms, GA, was developed. The paper presents the work performed on a small, but complex water supply system, which included t

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