RT Conference Proceedings
T1 Memetic modified cuckoo search algorithm with ASSRS for the SSCF problem in self-similar fractal image reconstruction
A1 Gálvez, Akemi
A1 Iglesias, Andrés
A1 Fister, Iztok
A1 Fister, Iztok
A1 Osaba, Eneko
A1 Del Ser, Javier
A2 Herrero, Alvaro
A2 Quintian, Hector
A2 Antonio Saez, Jose
A2 Corchado, Emilio
A2 de Cos Juez, Francisco Javier
A2 Villar, Jose Ramon
A2 de la Cal, Enrique A.
AB This paper proposes a new memetic approach to address the problem of obtaining the optimal set of individual Self-Similar Contractive Functions (SSCF) for the reconstruction of self-similar binary IFS fractal images, the so-called SSCF problem. This memetic approach is based on the hybridization of the modified cuckoo search method for global optimization with a new strategy for the Lévy flight step size (MMCS) and the adaptive step size random search (ASSRS) heuristics for local search. This new method is applied to some illustrative examples of self-similar fractal images with satisfactory graphical and numerical results. Our approach represents a substantial improvement with respect to a previous method based on the original cuckoo search algorithm for all contractive functions of the examples in this paper.
PB Springer Verlag
SN 9783319926384
SN 0302-9743
YR 2018
FD 2018
LK https://hdl.handle.net/11556/2491
UL https://hdl.handle.net/11556/2491
LA eng
NO Gálvez , A , Iglesias , A , Fister , I , Fister , I , Osaba , E & Del Ser , J 2018 , Memetic modified cuckoo search algorithm with ASSRS for the SSCF problem in self-similar fractal image reconstruction . in A Herrero , H Quintian , J Antonio Saez , E Corchado , F J de Cos Juez , J R Villar & E A de la Cal (eds) , Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 10870 LNAI , Springer Verlag , pp. 658-670 , 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018 , Oviedo , Spain , 20/06/18 . https://doi.org/10.1007/978-3-319-92639-1_55
NO conference
NO Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
NO Acknowledgements. This research is supported by the project PDE-GIR of the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 778035, the Spanish Ministry of Economy and Competitiveness under grant #TIN2017-89275-R of the Agencia Estatal de Inves-tigación and European Funds FEDER (AEI/FEDER, UE), the project #JU12, of SODERCAN and European Funds FEDER (SODERCAN/FEDER UE) and the project EMAITEK of the Basque Government. This research is supported by the project PDE-GIR of the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 778035, the Spanish Ministry of Economy and Competitiveness under grant #TIN2017-89275-R of the Agencia Estatal de Investigación and European Funds FEDER (AEI/FEDER, UE), the project #JU12, of SODERCAN and European Funds FEDER (SODERCAN/FEDER UE) and the project EMAITEK of the Basque Government.
DS TECNALIA Publications
RD 28 jul 2024