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Hybrid soft computing models applied to graph theory

Detalles Bibliográficos
Autores principales: Akram, Muhammad, Zafar, Fariha
Lenguaje:eng
Publicado: Springer International Publishing AG 2019
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2755847
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author Akram, Muhammad
Zafar, Fariha
author_facet Akram, Muhammad
Zafar, Fariha
author_sort Akram, Muhammad
collection CERN
id cern-2755847
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Springer International Publishing AG
record_format invenio
spelling cern-27558472021-04-21T16:42:04Zhttp://cds.cern.ch/record/2755847engAkram, MuhammadZafar, FarihaHybrid soft computing models applied to graph theoryXXSpringer International Publishing AGoai:cds.cern.ch:27558472019
spellingShingle XX
Akram, Muhammad
Zafar, Fariha
Hybrid soft computing models applied to graph theory
title Hybrid soft computing models applied to graph theory
title_full Hybrid soft computing models applied to graph theory
title_fullStr Hybrid soft computing models applied to graph theory
title_full_unstemmed Hybrid soft computing models applied to graph theory
title_short Hybrid soft computing models applied to graph theory
title_sort hybrid soft computing models applied to graph theory
topic XX
url http://cds.cern.ch/record/2755847
work_keys_str_mv AT akrammuhammad hybridsoftcomputingmodelsappliedtographtheory
AT zafarfariha hybridsoftcomputingmodelsappliedtographtheory