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Bioinspired Algorithm for 2D Packing Problem

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 764)

Abstract

The paper considers one of the most important problem of resource allocation – packing of units within 2D space. The problem is NP-hard. A problem formulation is made, as well as restrictions and boundary conditions are found out. To solve the considered problem the authors suggest to use firefly optimization algorithm on the basis of which there are developed a bioinspired algorithm. This algorithm allows to obtain sets of quazi-optimal solutions for the 2D packing problem within polynomial time. Also, there are suggested mechanisms for encoding and decoding of alternative solutions. and presented a scheme of firefly algorithm for 2D packing problem. On the basis of the suggested algorithm there are developed software for computational experiments on benchmarks. Experimental investigations were carried out taking into account time and quality of alternative solutions. As a result, experiments shows the effectiveness of the developed algorithm.

Keywords

  • Packing problem
  • Optimization
  • Bioinspired algorithm
  • Firefly algorithm

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  • DOI: 10.1007/978-3-319-91189-2_5
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Correspondence to Daria Zaruba .

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Kureichik, V., Kureichik, L., Kureichik, V., Zaruba, D. (2019). Bioinspired Algorithm for 2D Packing Problem. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_5

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