Title
Memetic Modified Cuckoo Search Algorithm With Assrs For The Sscf Problem In Self-Similar Fractal Image Reconstruction
Abstract
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 Levy 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.
Year
DOI
Venue
2018
10.1007/978-3-319-92639-1_55
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018)
Keywords
Field
DocType
Image reconstruction, Swarm intelligence, Cuckoo search algorithm, Fractal images, Iterated function systems, Contractive functions
Random search,Iterated function system,Global optimization,Computer science,Swarm intelligence,Fractal,Algorithm,Cuckoo search,Heuristics,Local search (optimization)
Conference
Volume
ISSN
Citations 
10870
0302-9743
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Akemi Gálvez139238.92
Andrés Iglesias228040.57
Iztok Fister Jr.344735.34
Iztok Fister Jr.444735.34
eneko525833.50
Javier Del Ser671287.90