Essays about: "Multi-objective optimisation"
Showing result 1 - 5 of 15 essays containing the words Multi-objective optimisation.
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1. Lagrangian Bounding and Heuristics for Bi-Objective Discrete Optimisation
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : For larger instances of multi-objective optimisation problems, the exact Pareto frontier can be both difficult and time-consuming to calculate. There is a wide range of methods to find feasible solutions to such problems, but techniques for finding good optimistic bounds to compare the feasible solutions with are missing. READ MORE
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2. Assessment of optimal suspension systems with regards to ride under different road profiles
University essay from KTH/FordonsdynamikAbstract : Passenger ride vibration comfort is a critical aspect to consider while developing any vehicle and there is a need to understand how the occupants would be affected when driving on different road profile roughness. Hence, road profile generation is critical as road profiles are used as inputs to simulation tools to investigate vehicle dynamic behaviour in depth. READ MORE
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3. Development of a Tool for Inverse Aerodynamic Design and Optimisation of Turbomachinery Aerofoils
University essay from KTH/FlygdynamikAbstract : The automation of airfoil design process is an ongoing effort within the field of turbo-machinery design, with significant focus on developing new reliable and consistent methods that can meet the needs of the engineers. A wide variety of approaches has been in use for inverse airfoil design process which benefit from theoretical inverse design, statistical methods, empirical discoveries and many other ways to solve the design problem. READ MORE
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4. Parameter Optimisation of EPAS Using CAE
University essay from KTH/FordonsdynamikAbstract : To keep up with technological as well as logistical challenges of the modern automobile market, major car manufacturing firms have resorted to virtual simulation tools. This enables the development as well as validation of vehicular models much before resources are invested into a new physical prototype. READ MORE
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5. Modelling Diversity of Solutions
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : For many combinatorial problems, finding a single solution is not enough. This is clearly the case for multi-objective optimisation problems, as they have no single “best solution” and, thus, it is useful to find a representation of the non-dominated solutions (the Pareto frontier). READ MORE