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A survey of adaptive large neighborhood search algorithms and applications

Computers & Operations Research, 2022
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Setyo Tri Windras Mara, Rachmadi Norcahyo, Panca Jodiawan, Luluk Lusiantoro, Achmad Pratama Rifai   +4 more
exaly   +4 more sources

An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem

Swarm and Evolutionary Computation, 2019
Abstract Green machine scheduling consists in the allocation of jobs in order to maximize production, in view of the sustainable use of energy. This work addresses the unrelated parallel machine scheduling problem with setup times, with the minimization of the makespan and the total energy consumption.
Luciano Perdigão Cota, Frederico G. Guimarães, Roberto G. Ribeiro, Ivan Reinaldo Meneghini, Fernando B. de Oliveira, Marcone J. F. Souza, Patrick Siarry   +6 more
exaly   +5 more sources

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A hybrid adaptive large neighborhood search algorithm for the large-scale heterogeneous container loading problem

Expert Systems with Applications, 2022
Abstract This paper aims to solve the large-scale heterogeneous container loading problem (HCLP), which is an extensive form of the multiple container loading problem, in a limited time. The target is to choose a set of containers of different sizes to accommodate all products and minimize the wasted space rate.
Ying Li, Mingzhou Chen, Jiazhen Huo
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An improved adaptive large neighborhood search algorithm for multiple agile satellites scheduling

Computers & Operations Research, 2018
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Lei He 0009, Xiao-Lu Liu 0002, Gilbert Laporte, Yingwu Chen 0001, Yingguo Chen   +4 more
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An adaptive large neighborhood search algorithm for a selective and periodic inventory routing problem

European Journal of Operational Research, 2014
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Deniz Aksen, Onur Kaya, F. Sibel Salman, Özge Tüncel   +3 more
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An Adaptive Large Neighborhood Search Algorithm for the Resource-constrained Project Scheduling Problem [PDF]

, 2009
We present an application of an Adaptive Large Neighborhood Search (ALNS) algorithm to the Resource-constrained Project Scheduling Problem (RCPSP). The ALNS framework was first proposed by Pisinger and Røpke [19] and can be described as a large neighborhood search algorithm with an adaptive layer, where a set of destroy/repair neighborhoods compete to ...
Muller, Laurent Flindt
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A hybrid adaptive large neighborhood search and tabu search algorithm for the electric vehicle relocation problem

Computers & Industrial Engineering, 2022
Lei Cai, Xin Wang, Zhixing Luo, Yijing Liang   +3 more
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Adaptive large neighborhood search algorithm for multi-stage weapon target assignment problem

Computers & Industrial Engineering, 2023
Xuening Chang, Jianmai Shi, Zhihao Luo, Yao Liu   +3 more
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An Enhanced Adaptive Large Neighborhood Search Algorithm for the Capacitated Vehicle Routing Problem

2021 13th International Conference on Machine Learning and Computing, 2021
Capacitated Vehicle Routing Problem (CVRP) is a representative type of Vehicle Routing Problem (VRP) and it is NP-hard. With the increase of the scale of the problem, the existing method is easy to fall into a local optimal solution, and the solution time is too long.
Haiping Zhang, Wang Yang
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Distance-Based Adaptive Large Neighborhood Search Algorithm for Green-PDPTW

2020
Green Pickup-and-Delivery Problem with Time-Windows (Green-PDPTW) is a new sub-problem of the Capacitated Vehicle Routing Problem (CVRP). It aims to solve PDPTW in a way that emits the least amount of greenhouse gases. Adaptive Large Neighborhood Search (ALNS) is a commonly used algorithm to solve such problems, but usually, it focuses more on ...
Jinying Lu, Hejiao Huang
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