Results 11 to 20 of about 9,146 (257)
Data for a meta-analysis of the adaptive layer in adaptive large neighborhood search [PDF]
Data in Brief, 2020 Meta-analysis, a systematic statistical examination that combines the results of several independent studies, has the potential of obtaining problem- and implementation-independent knowledge and understanding of metaheuristic algorithms, but has not yet ...
Renata Turkeš +19 more
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Parallel adaptive large neighborhood search based on spark to solve VRPTW [PDF]
Scientific ReportsAiming at the multi-objective vehicle path planning problem with time windows (VRPTW), a Spark-based parallel Adaptive Large Neighborhood Search algorithm (Spark-ALNS) is proposed to solve it.
Songzuo Liu +3 more
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A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search [PDF]
Sensors, 2022 Through urban traffic patrols, problems such as traffic congestion and accidents can be found and dealt with in time to maintain the stability of the urban traffic system.
Guohua Wu +3 more
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An adaptive neutrosophic large neighborhood search and its application [PDF]
Neutrosophic Sets and SystemsAn adaptive large neighborhood search (ALNS) lacks a clear measure for assessing the improvement degree in the new solution, which causes fuzziness and uncertainty in the operator score.
Jun Jiang +4 more
doaj +3 more sources
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
doaj +3 more sources
Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search [PDF]
European Journal of Operational Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Renata Turkes +2 more
openaire +2 more sources
A Single-Product Multi-Period Inventory Routing Problem under Intermittent Demand
Information, 2023 Demand fluctuations and uncertainty bring challenges to inventory management, and intermittent demand patterns increase the risk of inventory backlogs and raise inventory holding costs.
Xin Song, Daofang Chang, Tian Luo
doaj +1 more source
Adaptive large neighborhood search for mixed integer programming [PDF]
Mathematical Programming Computation, 2021 AbstractLarge Neighborhood Search (LNS) heuristics are among the most powerful but also most expensive heuristics for mixed integer programs (MIP). Ideally, a solver adaptively concentrates its limited computational budget by learning which LNS heuristics work best for the MIP problem at hand.
openaire +1 more source
The Dynamic Electric Carsharing Relocation Problem
EURO Journal on Transportation and Logistics, 2021 This article addresses a relocation and recharging problem faced by modern carsharing operators who manage a fleet of electric vehicles. As customers utilize the fleet, batteries are depleted and vehicles are possibly left in low-demand locations ...
Simen Hellem +5 more
doaj +1 more source