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Hybrid soft computing models applied to graph theory
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer International Publishing AG
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2755847 |
_version_ | 1780969726064721920 |
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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 |