0000000000454709

AUTHOR

Tomas Kratky

0000-0003-1514-4202

showing 2 related works from this author

Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system

2017

We tackle three different challenges in solving a real-world industrial problem: formulating the optimization problem, connecting different simulation tools and dealing with computationally expensive objective functions. The problem to be optimized is an air intake ventilation system of a tractor and consists of three computationally expensive objective functions. We describe the modeling of the system and its numerical evaluation with a commercial software. To obtain solutions in few function evaluations, a recently proposed surrogate-assisted evolutionary algorithm K-RVEA is applied. The diameters of four different outlets of the ventilation system are considered as decision variables. Fr…

ta1130209 industrial biotechnologyMathematical optimizationnumerical modelsOptimization problemlineaarinen optimointiLinear programmingComputer sciencesoftwarehydraulijärjestelmätventilationEvolutionary algorithmlinear programming02 engineering and technologyFunction (mathematics)Set (abstract data type)resistance020901 industrial engineering & automationhydraulic systemsilmanvaihto0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingShape optimizationoptimization
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Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

2019

We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. We are motivated by practical applicability and focus on two main challenges faced by practitioners in industry: 1) meaningful formulation of the optimization problem reflecting the needs of a decision maker and 2) finding a desirable solution based on a decision maker’s preferences when solving a problem with computationally expensive function evaluations. For the first challenge, we describe the procedure of modelling a component in the air intake ventilation system wi…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemProcess (engineering)Computer sciencemedia_common.quotation_subjectmultiple criteria decision makingEvolutionary algorithmoptimal shape designpreference information0102 computer and information sciences02 engineering and technology01 natural sciencesComponent (UML)0202 electrical engineering electronic engineering information engineeringBaseline (configuration management)Function (engineering)Preference (economics)media_commonpareto-tehokkuusilmanvaihtojärjestelmätmetamodelsmonitavoiteoptimointikoneoppiminen010201 computation theory & mathematicsevolutionary multi-objective optimizationcomputational costs020201 artificial intelligence & image processingmuotoProceedings of the Genetic and Evolutionary Computation Conference
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