Mining Solution Spaces for Decision Making in Water Distribution Systems

• DOI: 10.1016/j.proeng.2014.02.095
• Publication Date: 2014-04-23T17:54:03Z
• Authors: J. Izquierdo; I. Montalvo; R. Pérez-García; E. Campbell
• Keywords: INGENIERIA HIDRAULICA; Agent swarm optimization; Decision Making; 02 engineering and technology; Evolutionary algorithms; 6. Clean water; Bayesian networks; 0203 mechanical engineering; Agent Swarm Optimization; Kohonen SOM; Data Mining; Bayesian Networks; Evolutionary Algorithms; MATEMATICA APLICADA; Data mining; Decision making; Engineering(all)

This work has been supported by project IDAWAS, DPI2009- 11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/ 2011/ 188 of the Conselleria d'Educacio of the Generalitat Valenciana.<br/>[EN] Data mining solutions can be applied in combination with evolutionary algorithms to extract relevant information from solution spaces analyzed during optimization processes regarding water distribution system (WDS) design. Firstly, results from data mining can be introduced into the evolutionary algorithms to guide the search of solutions. Secondly, data mining techniques can be used not only to help explore the population of potential solutions but also to exploit data regarding the behavior of the WDS under different work conditions. As a result, applications can be developed for supporting decision making regarding WDS models in both offline and online contexts.<br/>