Artificial Neural Network and Differential Evolution methodologies used in single-and multi-objective formulations for the solution of subsurface water management problems

Nikolos, IK; Papadopoulou, MP; Karatzas, GP

dc.contributor.author	Nikolos, IK	en
dc.contributor.author	Papadopoulou, MP	en
dc.contributor.author	Karatzas, GP	en
dc.date.accessioned	2014-03-01T01:59:36Z
dc.date.available	2014-03-01T01:59:36Z
dc.date.issued	2010	en
dc.identifier.issn	17550386	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29006
dc.subject	ANNs	en
dc.subject	Artificial neural networks	en
dc.subject	DE	en
dc.subject	Differential evolution	en
dc.subject	Groundwater management	en
dc.subject	Multi-objective optimisation	en
dc.subject	Subsurface water management problems	en
dc.title	Artificial Neural Network and Differential Evolution methodologies used in single-and multi-objective formulations for the solution of subsurface water management problems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJAIP.2010.036401	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJAIP.2010.036401	en
heal.publicationDate	2010	en
heal.abstract	A single-objective Differential Evolution (DE) algorithm is combined with an Artificial Neural Network (ANN) to examine different operational strategies to cover the water demand in the Northern part of Rhodes Island, Greece. Successive calls to the simulator are used to provide the training data to the ANN, which is used as an approximation model to the simulator. Additionally, a multi-objective DE algorithm is combined with the pre-trained ANN to solve the same problem; the environmental constraints are realised through the definition of a second objective function, whereas the first objective function is the total pumping of the supply wells. © 2010 Inderscience Enterprises Ltd.	en
heal.journalName	International Journal of Advanced Intelligence Paradigms	en
dc.identifier.doi	10.1504/IJAIP.2010.036401	en
dc.identifier.volume	2	en
dc.identifier.issue	4	en
dc.identifier.spage	365	en
dc.identifier.epage	377	en