CEGO-package {CEGO} | R Documentation |
Combinatorial Efficient Global Optimization in R
Description
Combinatorial Efficient Global Optimization
Details
Model building, surrogate model based optimization and Efficient Global Optimization in combinatorial or mixed search spaces. This includes methods for distance calculation, modeling and handling of indefinite kernels/distances.
Package: | CEGO |
Type: | Package |
Version: | 2.4.3 |
Date: | 2024-01-27 |
License: | GPL (>= 3) |
LazyLoad: | yes |
Acknowledgments
This work has been partially supported by the Federal Ministry of Education and Research (BMBF) under the grants CIMO (FKZ 17002X11) and MCIOP (FKZ 17N0311).
Author(s)
Martin Zaefferer mzaefferer@gmail.com
References
Zaefferer, Martin; Stork, Joerg; Friese, Martina; Fischbach, Andreas; Naujoks, Boris; Bartz-Beielstein, Thomas. (2014). Efficient global optimization for combinatorial problems. In Proceedings of the 2014 conference on Genetic and evolutionary computation (GECCO '14). ACM, New York, NY, USA, 871-878. DOI=10.1145/2576768.2598282
Zaefferer, Martin; Stork, Joerg; Bartz-Beielstein, Thomas. (2014). Distance Measures for Permutations in Combinatorial Efficient Global Optimization. In Parallel Problem Solving from Nature - PPSN XIII (p. 373-383). Springer International Publishing.
Zaefferer, Martin and Bartz-Beielstein, Thomas (2016). Efficient Global Optimization with Indefinite Kernels. Parallel Problem Solving from Nature-PPSN XIV. Accepted, in press. Springer.
See Also
Interface of main function: optimCEGO