Cliques for Multi-Term Linearization of 0–1 Multilinear Program for Boolean Logical Pattern Generation

Kedong Yan, Hong Seo Ryoo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    0–1 multilinear program (MP) holds a unifying theory to Boolean logical pattern generation. For a tighter polyhedral relaxation of MP, this note exploits cliques in the graph representation of data under analysis to generate valid inequalities for MP that subsume all previous results and, collectively, provide a much stronger relaxation of MP. A preliminary numerical study demonstrates strength and practical benefits of the new results.

    Original languageEnglish
    Title of host publicationOptimization of Complex Systems
    Subtitle of host publicationTheory, Models, Algorithms and Applications, 2019
    EditorsHoai An Le Thi, Hoai Minh Le, Tao Pham Dinh
    PublisherSpringer Verlag
    Pages376-386
    Number of pages11
    ISBN (Print)9783030218027
    DOIs
    Publication statusPublished - 2020
    Event6th World Congress on Global Optimization, WCGO 2019 - Metz, France
    Duration: 2019 Jul 82019 Jul 10

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume991
    ISSN (Print)2194-5357
    ISSN (Electronic)2194-5365

    Conference

    Conference6th World Congress on Global Optimization, WCGO 2019
    Country/TerritoryFrance
    CityMetz
    Period19/7/819/7/10

    Bibliographical note

    Funding Information:
    1This work was supported by National Natural Science Foundation of China (Grant Number: 61806095.) 2Corresponding author. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant Number: 2017R1D1A1A02018729.)

    Publisher Copyright:
    © 2020, Springer Nature Switzerland AG.

    Keywords

    • 0–1 multilinear programming
    • 0–1 polyhedral relaxation
    • Clique
    • Graph
    • Logical analysis of data
    • Pattern

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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