2026-06-02T07:25:12Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/273732026-02-03T12:16:07Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Chicano-García, José-Francisco
author
Derbel, Bilel
author
Verel, Sébastien
2023-07-25T09:14:48Z
2023-07-25T09:14:48Z
2023
https://hdl.handle.net/10630/27373
In the context of pseudo-Boolean optimization, surrogate functions based on the Walsh-Hadamard transform have been recently proposed with great success. It has been shown that lower-order components of the Walsh-Hadamard transform have usually a larger influence on the value of the objective function. Thus, creating a surrogate model using the lower-order components of the transform can provide a good approximation to the objective function. The Walsh-Hadamard transform in pseudo-Boolean optimization is a particularization in the binary representation of a Fourier transform over a finite group, precisely defined in the framework of group representation theory. Using this more general definition, it is possible to define a Fourier transform for the functions over permutations. We propose in this paper the use of surrogate functions based on the Fourier transforms over the permutation space. We check how similar the proposed surrogate models are to the original objective function and we also apply regression to learn a surrogate model based on the Fourier transform. The experimental setting includes two permutation problems for which the exact Fourier transform is unknown based on the problem parameters: the Asteroid Routing Problem and the Single Machine Total Weighted Tardiness.
eng
Atribución 4.0 Internacional
Computación evolutiva
Fourier Transform-based Surrogates for Permutation Problems
conference output
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