Abstract
In this paper, we investigate the optimization problem of single-layer packing of cylinders into various containers. The relevance and motivation for solving this problem are discussed and existing approaches and algorithms are reviewed. The optimization criterion selected is the maximization of the container packing factor. The problem is considered as a mixed-binary nonlinear programming problem, and a mathematical model is proposed. The general solution strategy is based on constructing a solution tree for binary variables. Two efficient approaches are proposed for searching for approximations to the global extremum of the problem. The choice of strategy depends on the homogeneity of the metric characteristics of the objects being placed. For unequal cylinders, a special decision tree and a way for improving local extrema are applied. For equal cylinders, a statistical optimization method based on neighborhood search is offered. The effectiveness of the proposed approaches is confirmed by numerical examples when optimizing problems of packing homogeneous and heterogeneous cylinder in different containers.
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The research is supported by National Research Foundation of Ukraine (grant #2020.02/0128).
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Stoyan, Y., Chuhai, A., Shekhovtsov, S., Yaskov, G., Gil, M. (2023). Two Optimization Techniques for Packing Cylinders. In: Arsenyeva, O., Romanova, T., Sukhonos, M., Biletskyi, I., Tsegelnyk, Y. (eds) Smart Technologies in Urban Engineering. STUE 2023. Lecture Notes in Networks and Systems, vol 807. Springer, Cham. https://doi.org/10.1007/978-3-031-46874-2_12
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