Hybrid Soft Computing Models Applied to Graph Theory

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Những tác giả chính: Akram, Muhammad, Zafar, Fariha
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer International Publishing 2020
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Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/89778
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spelling oai:scholar.dlu.edu.vn:DLU123456789-897782020-05-06T05:29:16Z Hybrid Soft Computing Models Applied to Graph Theory Akram, Muhammad Zafar, Fariha Engineering Computational Intelligence Operations Research, Management Science Data Mining and Knowledge Discovery 2020-05-06T05:29:16Z 2020-05-06T05:29:16Z 2020 Book 978-3-030-16019-7 978-3-030-16020-3 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/89778 en Studies in Fuzziness and Soft Computing Springer Nature Switzerland AG application/pdf Springer International Publishing
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Engineering
Computational Intelligence
Operations Research, Management Science
Data Mining and Knowledge Discovery
spellingShingle Engineering
Computational Intelligence
Operations Research, Management Science
Data Mining and Knowledge Discovery
Akram, Muhammad
Zafar, Fariha
Hybrid Soft Computing Models Applied to Graph Theory
format Book
author Akram, Muhammad
Zafar, Fariha
author_facet Akram, Muhammad
Zafar, Fariha
author_sort Akram, Muhammad
title Hybrid Soft Computing Models Applied to Graph Theory
title_short 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_sort hybrid soft computing models applied to graph theory
publisher Springer International Publishing
publishDate 2020
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/89778
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