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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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