Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity

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dc.contributor.author Kremmydas, D en
dc.contributor.author Petsakos, A en
dc.contributor.author Rozakis, S en
dc.date.accessioned 2014-06-06T06:51:57Z
dc.date.available 2014-06-06T06:51:57Z
dc.date.issued 2012 en
dc.identifier.issn 19416296 en
dc.identifier.uri http://dx.doi.org/10.4018/jdsst.2012010102 en
dc.subject Common Agricultural Policy (CAP) en
dc.subject Farm Model en
dc.subject Parallel Programming en
dc.subject Positive Mathematical Programming (PMP) en
dc.subject Spatial Decision Support Systems (SDSS) en
dc.subject.other Agricultural sector en
dc.subject.other Biomass supply en
dc.subject.other Common agricultural policy en
dc.subject.other Decision process en
dc.subject.other Energy crops en
dc.subject.other Farm model en
dc.subject.other Interactivity en
dc.subject.other Land suitability en
dc.subject.other Modeling technique en
dc.subject.other Non-linear model en
dc.subject.other Optimization models en
dc.subject.other Optimization module en
dc.subject.other Optimization problems en
dc.subject.other Parametric optimization en
dc.subject.other Positive Mathematical Programming (PMP) en
dc.subject.other Raw material costs en
dc.subject.other Solution time en
dc.subject.other Spatial decision support systems en
dc.subject.other Web based en
dc.subject.other Artificial intelligence en
dc.subject.other Crops en
dc.subject.other Curve fitting en
dc.subject.other Decision support systems en
dc.subject.other Electric network parameters en
dc.subject.other Farms en
dc.subject.other Parallel architectures en
dc.subject.other Parallel programming en
dc.subject.other Profitability en
dc.subject.other Mathematical programming en
dc.title Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity en
heal.type journalArticle en
heal.identifier.primary 10.4018/jdsst.2012010102 en
heal.publicationDate 2012 en
heal.abstract A web based Spatial Decision Support System (web SDSS) has been implemented in Thessaly, the most significant arable cropping region in Greece, to evaluate energy crop supply. The web SDSS uses an optimization module to support the decision process launching mathematical programming (MP) profit maximizing farm models. Energy to biomass raw material cost is provided in supply curve form incorporating physical land suitability for crops, farm structure, and Common Agricultural Policy (CAP) scenarios. To generate biomass supply curves, the optimization problem is parametrically solved for a number of steps within a price range determined by the user. The more advanced technique used to solve the MP model, the higher the delay of response to the user. In this paper, the authors examine how effectively the web SDSS response time can be reduced to the user requests using parallel solving of the corresponding optimization problem. The results are encouraging, since the total solution time drops significantly as the problem's size increases, improving the users' experience even when the underlying optimization models use advanced, time demanding modeling techniques. These statements are illustrated by comparing linear and non-linear agricultural sector models. Copyright © 2012, IGI Global. en
heal.journalName International Journal of Decision Support System Technology en
dc.identifier.issue 1 en
dc.identifier.volume 4 en
dc.identifier.doi 10.4018/jdsst.2012010102 en
dc.identifier.spage 14 en
dc.identifier.epage 29 en

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