Optimization of truck tyres selection
Doctoral thesis, 2018
simulation-based optimization
radial basis function
efficient solution
categorical variables
rolling resistance coefficient
truck tyres
approximately optimal solution
vehicle dynamics
surrogate model
Author
Zuzana Nedelkova
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Integration of expert knowledge into radial basis function surrogate models
Optimization and Engineering,;Vol. 17(2016)p. 577-603
Journal article
Modelling of optimal tyres selection for a certain truck and transport application
International Journal of Vehicle Systems Modelling and Testing,;Vol. 12(2017)p. 284-303
Journal article
Efficient solution of many instances of a simulation-based optimization problem utilizing a partition of the decision space
Annals of Operations Research,;Vol. 265(2018)p. 93-118
Journal article
Nedělková, Z., Cromvik, C., Lindroth, P., Patriksson, M., and Strömberg, A.-B., A splitting algorithm for simulation-based optimization problems with categorical variables
Nedělková, Z., Efficient solution of many instances of a simulation-based optimization problem with categorical variables utilizing a partition of the decision space
TyreOpt - Fuel consumption reduction by tyre drag optimization
Chalmers, 2012-01-01 -- 2018-05-04.
Swedish Energy Agency (2011-001831), 2012-01-01 -- 2015-12-31.
Driving Forces
Sustainable development
Areas of Advance
Transport
Energy
Subject Categories
Computational Mathematics
Vehicle Engineering
Computer Science
Roots
Basic sciences
ISBN
978-91-7597-614-3
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4295
Publisher
Chalmers
Pascal, Hörsalsvägen 1, Chalmers.
Opponent: Kaisa Miettinen, University of Jyväskylä, Finland.