Aug 27, 2024 · Our method quantifies the value of patterns based on their ability to satisfy stochastic constraints and their effects on the objective value.
Sep 10, 2024 · Our method quan- tifies the value of patterns based on their ability to satisfy stochastic constraints and their effects on the objective value, ...
Sep 10, 2024 · We use the online bin packing problem to evaluate the effectiveness of the proposed scheme and illustrate the online packing procedure with the ...
A branch-and-price algorithm for the temporal bin packing problem · Computer Science, Mathematics. Comput. Oper. Res. · 2020.
Pattern Based Learning and Optimisation Through Pricing for Bin Packing Problem. https://doi.org/10.2139/ssrn.4822673. Journal: 2024. Publisher: Elsevier BV.
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Co-authors ; Pattern based learning and optimisation through pricing for bin packing problem. H Zhang, R Bai, TY Liu, J Li, B Lin, J Ren. arXiv preprint arXiv: ...
Sep 1, 2024 · We propose a novel algorithm called FuzzyPatternPack(FPP), which leverages fuzzy inference and pattern-based predictions of the distribution of item sizes in ...
Missing: optimisation | Show results with:optimisation
Dec 30, 2024 · The optimization goal of 2D irregular pieces packing is to obtain the minimum packing height or the maximum raw material utilization rate while ...
Nov 22, 2024 · In this study, we address the one-dimensional Bin Packing problem with Variable Pattern Processing Time (1BP-VPT), a variant of the classical ...
Missing: learning optimisation
This paper presents a new method for patternbased learning and optimization through pricing. The proposed approach involves using a deep neural network to learn ...