Results 11 to 20 of about 8,476 (163)
Computation, 2021 This research presents a solution to the family tourism route problem by considering daily time windows. To find the best solution for travel routing, the modified adaptive large neighborhood search (MALNS) method, using the four destructions and the ...
Narisara Khamsing +4 more
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Operations Research Perspectives, 2020 This article introduces a new variant of the inventory routing problem related to real-world businesses. Specifically, in the beverage industry, business customers such as restaurants and bars, demand consistent delivery times, have different opening ...
Emilio J. Alarcon Ortega +2 more
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Logistics, 2023 Background: The growth of e-commerce necessitates efficient logistics management to address rising last-mile delivery challenges. To overcome some of the last-mile delivery costs, parcel lockers as a delivery option, can be an alternative solution.
Amira Saker, Amr Eltawil, Islam Ali
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Journal of Open Innovation: Technology, Market and Complexity, 2019 This research aimed to present a solution to the problem of production scheduling and assignment in broiler farms, which thus enabled the farms to achieve maximum profit.
Natthanan Praseeratasang +5 more
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Mobility offer allocations in corporate settings
EURO Journal on Computational Optimization, 2021 Corporate mobility is often based on a fixed assignment of vehicles to employees. Relaxing this fixation and including alternatives such as public transportation or taxis for business and private trips could increase fleet utilization and foster the use ...
Sebastian Knopp +2 more
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An adaptive large neighborhood search for the multiple-day music rehearsal problems
Computers & Industrial Engineering, 2021 Abstract This paper presents an Adaptive Large Neighborhood Search (ALNS) framework to solve the Multiple-Day Music Rehearsal Problem (MMRP), where music pieces with different player sets and durations are arranged in a predefined number of rehearsal days so that the total days of attendance and waiting times experienced by all players are minimized.
Jarumaneeroj, Pisit, Sakulsom, Noppadon
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Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]
Jisuanji kexue yu tansuoIn order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
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International Journal of Aerospace Engineering, 2020 Satellite establishes a satellite ground station to satellite link with a ground station to complete data transmission. However, in China, satellite ground stations only exist within the country.
Yingguo Chen +4 more
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Biomimetics, 2023 Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-heuristic algorithm derived from the distant sense of hearing of sand cats, which shows excellent performance in some large-scale optimization problems.
Xing Wang, Qian Liu, Li Zhang
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Adaptive Large Neighborhood Search on the Graphics Processing Unit
European Journal of Operational Research, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lukas Bach, Geir Hasle, Christian Schulz
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