- author = "Gijs Rennen",
- title = "Efficient approximation of black-box functions and Pareto sets",
- school = "Thomas Stieltjes Institute for Mathematics, Center for Economic Research, Tilburg University",
- year = "2009",
- address = "The Netherlands",
- month = "20 " # nov,
- keywords = "genetic algorithms, genetic programming, Econometrics, OR, Nested maximin Latin hypercube designs, Kriging modeling, HSCT, six-hump-camel-back function, Kotanchek formula",
- publisher = "CentER, Center for Economic Research",
- isbn13 = "9789056682392",
- language = "English",
-
URL = "
https://research.tilburguniversity.edu/en/publications/efficient-approximation-of-black-box-functions-and-pareto-sets",
-
URL = "https://research.tilburguniversity.edu/en/publications/83f4bb26-c7f0-4733-b08d-cd30af64b2c7",
-
URL = "
https://pure.uvt.nl/portal/files/1157123/thesis_Gijs_Rennen.pdf",
- size = "220 pages",
- abstract = "In the case of time-consuming simulation models or other so-called black-box functions, we determine a metamodel which approximates the relation between the input- and output-variables of the simulation model. To solve multi-objective optimization problems, we approximate the Pareto set, i.e. the set of Pareto optimal solutions for which it is not possible to improve one objective without deteriorating another.",
-
notes = "'This chapter introduces a symbolic regression
approach that is not based on genetic programming, but
on simulated annealing (see Aarts and Korst
(1989)).'
GP: six-hump-camel-back function
Samenvatting (Summary in Dutch)
Department of Econometrics and Operations Research ?
Citation for published version (APA):
Supervisors D. den Hertog and E.R. van Dam",
