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  • An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems

    Author(s)
    Abdel-Basset, Mohamed
    Manogaran, Gunasekaran
    Abdel-Fatah, Laila
    Mirjalili, Seyedali
    Griffith University Author(s)
    Mirjalili, Seyedali
    Year published
    2018
    Metadata
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    Abstract
    Bin packing problem (BPP) is a classical combinatorial optimization problem widely used in a wide range of fields. The main aim of this paper is to propose a new variant of whale optimization algorithm named improved Lévy-based whale optimization algorithm (ILWOA). The proposed ILWOA adapts it to search the combinatorial search space of BPP problems. The performance of ILWOA is evaluated through two experiments on benchmarks with varying difficulty and BPP case studies. The experimental results confirm the prosperity of the proposed algorithm in proficiency to find the optimal solution and convergence speed. Further, the ...
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    Bin packing problem (BPP) is a classical combinatorial optimization problem widely used in a wide range of fields. The main aim of this paper is to propose a new variant of whale optimization algorithm named improved Lévy-based whale optimization algorithm (ILWOA). The proposed ILWOA adapts it to search the combinatorial search space of BPP problems. The performance of ILWOA is evaluated through two experiments on benchmarks with varying difficulty and BPP case studies. The experimental results confirm the prosperity of the proposed algorithm in proficiency to find the optimal solution and convergence speed. Further, the obtained results are discussed and analyzed according to the problem size.
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    Journal Title
    Personal and Ubiquitous Computing
    DOI
    https://doi.org/10.1007/s00779-018-1132-7
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Design
    Publication URI
    http://hdl.handle.net/10072/380106
    Collection
    • Journal articles

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