A Memetic Island Model for Discrete Tomography Reconstruction

Risultato della ricerca: Conference contribution

1 Citazioni (Scopus)

Abstract

Soft computing is a term indicating a coalition of methodologies, and its basic dogma is that, in general, better results can be obtained through the use of constituent methodologies in combination, rather than in a stand alone mode. Evolutionary computing belongs to this coalition, and thus memetic algorithms. Here, we present a combination of several instances of a recently proposed memetic algorithm for discrete tomography reconstruction, based on the island model parallel implementation. The combination is motivated by the fact that, even though the results of the recently proposed approach are finally better and more robust compared to other approaches, we advised that its major drawback was the computational time. The underlying combination strategy consists in separated populations of agents evolving by means of different processes which share some individuals, from time to time. Experiments were performed to test the benefits of this paradigm in terms of computational time and correctness of the solutions.
Lingua originaleEnglish
Titolo della pubblicazione ospiteFuzzy logic and Applications, 9th International Workshop, WILF 2011 Trani, Italy, August 2011. Proceedings
Pagine261-268
Numero di pagine8
Stato di pubblicazionePublished - 2011

Serie di pubblicazioni

NomeLECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1700???

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