Less is more: Tabu search for bipartite quadratic programming problem

Dragan Urošević, Yiad Ibrahim Yousef Alghoul, Zhazira Amirgaliyeva, Nenad Mladenović

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

Язык оригиналаАнглийский
Название основной публикацииMathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings
РедакторыMichael Khachay, Panos Pardalos, Yury Kochetov
ИздательSpringer Verlag
Страницы390-401
Число страниц12
ISBN (печатное издание)9783030226282
DOI
СостояниеОпубликовано - 1 янв 2019
Событие18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019 - Ekaterinburg, Российская Федерация
Продолжительность: 8 июл 201912 июл 2019

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11548 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019
СтранаРоссийская Федерация
ГородEkaterinburg
Период08/07/201912/07/2019

Отпечаток

Tabu search
Quadratic programming
Tabu Search
Quadratic Programming
Heuristics
Heuristic methods
Norm of a matrix
Matrix Computation
Memory Term
Complete Bipartite Graph
Binary Data
Computational complexity
Heuristic Method
Induced Subgraph
Clique
Bipartite Graph
Computational Results
Data storage equipment
Subgraph
Mining

Ключевые слова

    Предметные области ASJC Scopus

    • Theoretical Computer Science
    • Computer Science(all)

    Цитировать

    Urošević, D., Alghoul, Y. I. Y., Amirgaliyeva, Z., & Mladenović, N. (2019). Less is more: Tabu search for bipartite quadratic programming problem. В M. Khachay, P. Pardalos, & Y. Kochetov (Ред.), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings (стр. 390-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11548 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22629-9_27
    Urošević, Dragan ; Alghoul, Yiad Ibrahim Yousef ; Amirgaliyeva, Zhazira ; Mladenović, Nenad. / Less is more: Tabu search for bipartite quadratic programming problem. Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. редактор / Michael Khachay ; Panos Pardalos ; Yury Kochetov. Springer Verlag, 2019. стр. 390-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{165b7c2993a34ceea360dd7d094f39b8,
    title = "Less is more: Tabu search for bipartite quadratic programming problem",
    keywords = "Bipartite quadratic programming, Discrete optimization, Graphs, Tabu search, Variable neighborhood search",
    author = "Dragan Urošević and Alghoul, {Yiad Ibrahim Yousef} and Zhazira Amirgaliyeva and Nenad Mladenović",
    year = "2019",
    month = "1",
    day = "1",
    doi = "10.1007/978-3-030-22629-9_27",
    language = "English",
    isbn = "9783030226282",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    publisher = "Springer Verlag",
    pages = "390--401",
    editor = "Michael Khachay and Panos Pardalos and Yury Kochetov",
    booktitle = "Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings",
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    Urošević, D, Alghoul, YIY, Amirgaliyeva, Z & Mladenović, N 2019, Less is more: Tabu search for bipartite quadratic programming problem. в M Khachay, P Pardalos & Y Kochetov (ред.), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 11548 LNCS, Springer Verlag, стр. 390-401, 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, Ekaterinburg, Российская Федерация, 08/07/2019. https://doi.org/10.1007/978-3-030-22629-9_27

    Less is more: Tabu search for bipartite quadratic programming problem. / Urošević, Dragan; Alghoul, Yiad Ibrahim Yousef; Amirgaliyeva, Zhazira; Mladenović, Nenad.

    Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. ред. / Michael Khachay; Panos Pardalos; Yury Kochetov. Springer Verlag, 2019. стр. 390-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11548 LNCS).

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

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    AU - Alghoul, Yiad Ibrahim Yousef

    AU - Amirgaliyeva, Zhazira

    AU - Mladenović, Nenad

    PY - 2019/1/1

    Y1 - 2019/1/1

    KW - Bipartite quadratic programming

    KW - Discrete optimization

    KW - Graphs

    KW - Tabu search

    KW - Variable neighborhood search

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    SN - 9783030226282

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 390

    EP - 401

    BT - Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings

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    Urošević D, Alghoul YIY, Amirgaliyeva Z, Mladenović N. Less is more: Tabu search for bipartite quadratic programming problem. В Khachay M, Pardalos P, Kochetov Y, редакторы, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Springer Verlag. 2019. стр. 390-401. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-22629-9_27