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  • A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems

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    Embargoed until: 2022-04-16
    Author(s)
    Abdel-Basset, Mohamed
    El-Shahat, Doaa
    Faris, Hossam
    Mirjalili, Seyedali
    Griffith University Author(s)
    Mirjalili, Seyedali
    Year published
    2019
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    Abstract
    This work proposes a new Modified Multi-Verse Optimization (MMVO) algorithm for solving the 0-1 knapsack (0-1 KP) and multidimensional knapsack problems (MKP). MMVO incorporates a two-step repair strategy for handling constraints. In addition, a barrier function is employed for assigning negative values to the infeasible solutions so that their fitness cannot outperform the fitness of the feasible ones. MMVO avoids local optima by re-initializing the population every predetermined number of iterations while keeping the best solution obtained so far. For discretizing the solutions, MMVO employs a V-shaped transfer function ...
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    This work proposes a new Modified Multi-Verse Optimization (MMVO) algorithm for solving the 0-1 knapsack (0-1 KP) and multidimensional knapsack problems (MKP). MMVO incorporates a two-step repair strategy for handling constraints. In addition, a barrier function is employed for assigning negative values to the infeasible solutions so that their fitness cannot outperform the fitness of the feasible ones. MMVO avoids local optima by re-initializing the population every predetermined number of iterations while keeping the best solution obtained so far. For discretizing the solutions, MMVO employs a V-shaped transfer function (tanh). The research applies the proposed method to several knapsack case studies and demonstrates its application in resource allocation of Adaptive Multimedia Systems (AMS). The results show the benefits of the MMVO algorithm in solving binary test and real-world problems.
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    Journal Title
    Computers & Industrial Engineering
    Volume
    132
    DOI
    https://doi.org/10.1016/j.cie.2019.04.025
    Copyright Statement
    © 2019 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Mathematical Sciences
    Information and Computing Sciences
    Engineering
    Science & Technology
    Technology
    Computer Science, Interdisciplinary Applications
    Engineering, Industrial
    Computer Science
    Publication URI
    http://hdl.handle.net/10072/386843
    Collection
    • Journal articles

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