Search results for "IND-NIMBUS"

showing 2 items of 2 documents

Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process

2019

The design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) method over a posteriori methods in an unexplored field, namely the design of a biological treatment plant for drinking water production, that tackles the process drawbacks, contrarily to what happens in a traditional volumetric-load-driven design procedure. Specifically, we consider a groundwater denitrification biofilter, simulated by the Activated Sludge Model modified with two-stage denitrification kinetics. Three objectives were defined (nitr…

Pareto optimalityDecision support systemdecision supportEnvironmental EngineeringProcess (engineering)Computer science0208 environmental biotechnologypäätöksentukijärjestelmät02 engineering and technologyActivated sludge model010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesMulti-objective optimizationInteractive methodIND-NIMBUSWater treatmentSensitivity (control systems)Process engineeringWaste Management and DisposalGroundwater0105 earth and related environmental sciencesvedenpuhdistusNitratesSewagepareto optimalitypareto-tehokkuusbusiness.industrywater treatmentGeneral Medicineinteractive methodvedenkäsittelymonitavoiteoptimointi020801 environmental engineeringDecision supportRange (mathematics)Decision support; IND-NIMBUS; Interactive method; NIMBUS method; Pareto optimality; Water treatment; Algorithms; Denitrification; Nitrates; Sewage; GroundwaterDenitrificationA priori and a posterioriWater treatmentNIMBUS methodbusinessAlgorithms
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Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study

2014

Dynamic process simulators for plant-wide process simulation and multiobjective optimization tools can be used by industries as a means to cut costs and enhance profitability. Specifically, dynamic process simulators are useful in the process plant design phase, as they provide several benefits such as savings in time and costs. On the other hand, multiobjective optimization tools are useful in obtaining the best possible process designs when multiple conflicting objectives are to be optimized simultaneously. Here we concentrate on interactive multiobjective optimization. When multiobjective optimization methods are used in process design, they need an access to dynamic process simulators, …

implementation challengesMathematical optimizationOptimization problemProcess (engineering)Computer scienceta111General Engineeringaugmented interactive multiobjective optimization algorithminteractive methodMulti-objective optimizationComputer Science ApplicationsEngineering optimizationSeparation processDynamic simulationSimulation-based optimizationIND-NIMBUSArtificial Intelligencedynamic process simulationApache ThriftPareto optimal solutionsProcess simulationsimulation based optimizationExpert Systems with Applications
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