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: 2.4.2
Date: 2021-05-13
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


[Package CEGO version 2.4.2 Index]