Water Network Optimisation using Fuzzy Multiobjective Genetic Algorithms

摘要

In this paper multiobjective optimisation is applied for water distribution network optimisation, i.e. minimizing costs and maximizing a benefit/quality function, the trade-off curve being produced by a genetic algorithm. Fuzzy reasoning is introduced to the evaluation of benefits for each potential solution. A number of criteria are introduced, individually assessed by fuzzy membership functions and combined as a whole using fuzzy aggregation operators. Additionally the paper includes a novel approach for the simulation of tanks as network storage components within the genetic algorithm, taking into account the tank shape. The model is applied to a well-known benchmark network from literature ("Anytown").