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
doaj +7 more sources
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
doaj +4 more sources
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
doaj +2 more sources
A hybrid adaptive large neighborhood search for time-dependent open electric vehicle routing problem with hybrid energy replenishment strategies. [PDF]
PLoS ONE, 2023 As competition intensifies, an increasing number of companies opt to outsource their package distribution operations to professional Third-Party Logistics (3PL) fleets.
Lijun Fan
doaj +2 more sources
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 +2 more sources
International Timetabling Competition 2011: An Adaptive Large Neighborhood Search algorithm [PDF]
, 2012 An algorithm based on Adaptive Large Neighborhood Search (ALNS) for solving the generalized High School Timetabling problem in XHSTT-format (Post et al (2012a)) is presented. This algorithm was among the nalists of round 2 of the International Timetabling Competition 2011 (ITC2011). For problem description and results we refer to Post et al (2012b).
Kristiansen, Simon +2 more
core +2 more sources
Order fulfillment planning with crowdsourcing integration [PDF]
Scientific ReportsE-commerce has experienced rapid growth over the past decade, creating new challenges for last-mile and same-day delivery services. In response to the explosive increase in online orders and the emerging role of crowdsourcing in urban logistics, we ...
Xuejing Cao, Zhongmin Da, Xuefei Wang
doaj +2 more sources
An Adaptive Large Neighborhood Search Algorithm for the Multi-mode RCPSP [PDF]
, 2011 We present an Adaptive Large Neighborhood Search algorithm for the Multi-mode Resource-Constrained Project Scheduling Problem (MRCPSP). We incorporate techniques for deriving additional precedence relations and propose a new method, so-called mode-diminution, for removing modes during execution.
Muller, Laurent Flindt
core +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
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 Turkeš +2 more
openaire +2 more sources