Journal Article10.1111/itor.13115
A mixed-integer linear programming model and a metaheuristic approach for the selection and allocation of land parcels problem
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TL;DR: In this article , the authors proposed a reformulation of the SA-LPP as a variant of the two-dimensional orthogonal packing problem, called Group-2OPP.
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About: This article is published in International Transactions in Operational Research. The article was published on 11 Jan 2022. The article focuses on the topics: Computer science & Metaheuristic.
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Citations
Sustainable urban farming using a two‐phase multi‐objective and multi‐criteria decision‐making approach
Doha Haloui,Kenza Oufaska,Mustapha Oudani,Khalid El Yassini,Amine Belhadi,Sachin Gundurao Kamble +5 more
TL;DR: Sustainable urban farming location optimization using a two-phase multi-objective and multi-criteria decision-making approach to balance economic and environmental objectives.
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Cutting and packing problems under uncertainty: literature review and classification framework
TL;DR: In this paper , the authors review the existing literature on uncertainty in cutting and packing problems, propose a classification framework, and highlight the many research gaps and opportunities for scientific contributions in this area.
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An integer linear programming model for the label printing problem
TL;DR: In this paper , an integer linear programming model for the label printing problem is proposed and the authors obtain optimal solutions or show that the solutions provided in the literature are already optimal for most of these instances based on the model.
1
Algorithm for the approximate scheduling of network section's track maintenance in railway traffic control problem
Adel Al-Janabi,Haider Alsharq,Basheer Al-Sadawi +2 more
TL;DR: The paper proposes an algorithm for approximating the scheduling of network section's track maintenance in railway traffic control problem. It introduces a novel challenge of determining a pathway control time interval and offers a mathematical model and optimized strategy to address this issue. The problem is simplified to a mixed integer linear problem and two algorithms are implemented to obtain an approximate solution.
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An improved typology of cutting and packing problems
TL;DR: An improved typology of C&P problems is presented, which is partially based on Dyckhoff’s original ideas, but introduces new categorisation criteria, which define problem categories different from those of Dykhoff.
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Worst-Case Performance Bounds for Simple One-Dimensional Packing Algorithms
TL;DR: This work examines the performance of a number of simple algorithms which obtain “good” placements and shows that neither the first-fit nor the best-fit algorithm will ever use more than $\frac{17}{10}L^ * + 2$ bins.
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Optimizing the production scheduling of a single machine to minimize total energy consumption costs
TL;DR: Considering variable energy prices during one day, a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes was proposed in this paper, where genetic algorithm technology has been utilized.
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