Talks and Poster Presentations (with Proceedings-Entry):

C. Bacher, T. Krenek, G. Raidl:
"Reducing the number of simulations in operation strategy optimization for hybrid electric vehicles.";
Talk: 17th European Conference, EvoApplications 2014, Granada, Spanien; 2014-04-23 - 2014-04-25; in: "Applications of Evolutionary Computation, Lecture Notes in Computer Science", A. Esparcia-Alcázar, A. Mora (ed.); Springer Berlin Heidelberg, (2014), ISBN: 978-3-662-45522-7; 553 - 564.

English abstract:
The fuel consumption of a simulation model of a real Hybrid Electric Vehicle is optimized on a standardized driving cycle using metaheuristics (PSO, ES, GA). Search space discretization and metamodels are considered for reducing the number of required,time-expensive simulations. Two hybrid metaheuristics for combining the discussed methods are presented. In experiments it is shown that the use of hybrid metaheuristics with discretization and metamodels can lower the number of required simulations without significant loss in solution quality.

Hybrid Electric Vehicles, Hybrid metaheuristics, Search space discretization, Metamodels

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.