Memetic modified cuckoo search algorithm with ASSRS for the SSCF problem in self-similar fractal image reconstruction
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2018
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Springer Verlag
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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.
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Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
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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
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