A survey of adaptive large neighborhood search algorithms and applications
Computers & Operations Research, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Windras Mara, Setyo Tri +4 more
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Hybrid Adaptive Large Neighborhood Search for the Optimal Statistic Median Problem
Computers & Operations Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Katterbauer, Klemens +2 more
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An adaptive large neighborhood search heuristic for the Pollution-Routing Problem
European Journal of Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Demir, E., Bektas, T., Laporte, G.
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Adaptive large neighborhood search for the curriculum-based course timetabling problem
Annals of Operations Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kiefer, Alexander +2 more
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Dynamic Adaptive Large Neighborhood Search for Inventory Routing Problem
2015This paper is devoted to new approach to increase level of time consistency of heuristics and propose Dynamic Adaptive Large Neighborhood Search (DALNS) algorithm to improve solutions generated by ALNS.
Viacheslav A. Shirokikh +1 more
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Evaluating the importance of randomization in adaptive large neighborhood search
International Transactions in Operational Research, 2016AbstractRandomization is common in many implementations of metaheuristics, and is typically a main ingredient while considering adaptive large neighborhood search (ALNS). This paper considers a standard implementation of ALNS for maritime pickup and delivery problems, identifies seven randomized components in that implementation, and proposes and ...
Hemmati, Ahmad, Hvattum, Lars Magnus
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Distance-Based Adaptive Large Neighborhood Search Algorithm for Green-PDPTW
2020Green 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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An Adaptive Large Neighborhood Search Heuristic for Dynamic Ridesharing Problem
2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), 2019Ridesharing is getting more and more attention in the present society with several advantages in reducing congestion and minimizing the impact of transportation on the environment. In this paper, we consider a ridesharing problem on how to assign passengers to vehicles optimally. Unlike the others in the literature, this paper considers the ridesharing
Shijia Hua, Mingyao Qi
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Demand-Responsive Transport and Transit Synchronization Using Adaptive Large Neighborhood Search
International Conference on Transportation and Development 2025Urban transit operations exhibit limited accessibility and connectivity to the critical transit stops from the suburbs and low-density areas. The shared vehicles that act as demand responsive transport (DRT) can improve system connectivity, while also reducing congestion.
Masegosa, Antonio D. +8 more
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Planning a selective delivery schedule through Adaptive Large Neighborhood Search
Computers & Industrial Engineering, 2017Abstract We model and solve a real-life distribution problem faced by a fresh fruit supplier. This problem is formulated as a Multi-Product Split Delivery Capacitated Team Orienteering Problem with Incomplete Service and Soft Time Windows. The problem is modeled through a mixed integer linear programming formulation and solved by an Adaptive Large ...
Pamela J. Palomo-Martínez +2 more
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