A Plant Propagation Algorithm for the Bin Packing Problem

We consider the one-dimensional Bin Packing Problem (BPP) and its solution using a novel heuristic approach namely the Plant Propagation Algorithm (PPA). The problem can be stated as follows: given a set of objects of various weights, sizes, or any measure, and a set of bins each with fixed capacity, find the minimum number of bins needed to pack all the items such that the sum of the elements packed inside each bin does not exceed its capacity. BPP is a well-studied problem, however, being NP-Hard, the search for a computationally viable solution approach for it continues. In this paper, we report on our implementation of PPA for BPP and its performance against other algorithms on number of non-trivial instances. Computational results and their discussion are included.

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Publication Details

Journal
JUCS - Journal of Universal Computer Science
Published
2024-08-23
DOI
https://doi.org/10.3897/jucs.102470
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

A Plant Propagation Algorithm for the Bin Packing Problem

Rewayda Abo-Alsabeh, Abdellah Salhi, Meryem Cheraitia
JUCS - Journal of Universal Computer Science
Advanced Manufacturing and Logistics Optimization
article

A Plant Propagation Algorithm for the Bin Packing Problem

Rewayda Abo-Alsabeh, Abdellah Salhi, Meryem Cheraitia
article en

Abstract

We consider the one-dimensional Bin Packing Problem (BPP) and its solution using a novel heuristic approach namely the Plant Propagation Algorithm (PPA). The problem can be stated as follows: given a set of objects of various weights, sizes, or any measure, and a set of bins each with fixed capacity, find the minimum number of bins needed to pack all the items such that the sum of the elements packed inside each bin does not exceed its capacity. BPP is a well-studied problem, however, being NP-Hard, the search for a computationally viable solution approach for it continues. In this paper, we report on our implementation of PPA for BPP and its performance against other algorithms on number of non-trivial instances. Computational results and their discussion are included.

JUCS - Journal of Universal Computer ScienceVol. 30(8)
University of Essex (GB), University of Guelma (DZ), University of Kufa (IQ)
Openalex Percentile: Top 81%
Advanced Manufacturing and Logistics Optimization
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