A percentile transition ranking algorithm applied to binarization of continuous swarm intelligence metaheuristics

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19 Citas (Scopus)

Resumen

The binarization of continuous swarm-intelligence metaheuristics is an area of great interest in operational research. This interest is mainly due to the application of binarized metaheuristics to combinatorial problems. In this article we propose a general binarization algorithm called Percentil Transition Ranking Algorithm (PTRA). PTRA uses the percentile concept as a binarization mechanism. In particular we apply this mechanism to the Cuckoo Search metaheuristic to solve the Set Covering Problem (SCP). We provide necessary experiments to investigate the role of key ingredients of the algorithm. Finally to demonstrate the efficiency of our proposal, Set Covering benchmark instances of the literature show that PTRA competes with the state-of-the-art algorithms.

Idioma originalInglés
Título de la publicación alojadaRecent Advances on Soft Computing and Data Mining - Proceedings of the 3rd International Conference on Soft Computing and Data Mining SCDM 2018
EditoresJemal H. Abawajy, Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi
EditorialSpringer Verlag
Páginas3-13
Número de páginas11
ISBN (versión impresa)9783319725499
DOI
EstadoPublicada - 1 ene 2018
Evento3rd International Conference on Soft Computing and Data Mining, SCDM 2018 - Johor, Malasia
Duración: 6 feb 20188 feb 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen700
ISSN (versión impresa)2194-5357

Conferencia

Conferencia3rd International Conference on Soft Computing and Data Mining, SCDM 2018
PaísMalasia
CiudadJohor
Período6/02/188/02/18

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