Computers & Operations Research

Papers
(The H4-Index of Computers & Operations Research is 40. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Solving the strip packing problem with a decomposition framework and a generic solver: Implementation, tuning, and reinforcement-learning-based hybridization243
A logic-based Benders decomposition solution approach for two covering problems that consider the underlying transportation180
A Bi-criterion Steiner Traveling Salesperson Problem with Time Windows for Last-mile Electric Vehicle Logistics129
Multi-objective shipment consolidation and dispatching problem119
New lower bounds on the cutwidth of graphs105
Editorial Board97
Logic-based Benders decomposition with a partial assignment acceleration technique for avionics scheduling95
A matheuristic approach for the multi-manned assembly line balancing problem with collaborative robots94
Using machine learning to identify hidden constraints in vehicle routing problems83
Sequential customers’ decisions in facility location with comparison-shopping81
Collaborative optimization of last-train timetables for metro network to increase service time for passengers76
Stochastic production routing problem for perishable products: Modeling and a solution algorithm75
Home healthcare staff dimensioning problem for temporary caregivers: A matheuristic solution approach74
Time window optimization for attended home service delivery under multiple sources of uncertainties73
Reducing disease spread through optimization: Limiting mixture of the population is more important than limiting group sizes69
A slope scaling heuristic for the multi-period strategic planning of carbon capture and storage61
A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search60
On some lower bounds for the permutation flowshop problem60
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system59
ILS-based algorithms for the profit maximizing uncapacitated hub network design problem with multiple allocation59
Offline approximate value iteration for dynamic solutions to the multivehicle routing problem with stochastic demand58
VNSMAS: A constraint-based portfolio profit maximization56
Novel mathematical formulations for parallel-batching processing machine scheduling problems55
Branch-and-price algorithms for large-scale mission-oriented maintenance planning problems51
Editorial Board49
Hybrid genetic search for the traveling salesman problem with hybrid electric vehicle and time windows46
A Q-learning-based variable greedy algorithm to minimize the sum of total earliness and tardiness in a no-wait flowshop scheduling problem46
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm45
Integrated packing and routing: A model and its solutions44
Online multiple resource allocation problems with departures via the primal-dual approach44
A proactive aircraft recovery approach based on airport spatiotemporal network supply and demand coordination44
Multi-commodity vehicle routing problem with pickup and delivery for electric micromobility devices rebalancing and battery swapping43
Pickup and delivery with time windows and two-dimensional loading for shipbuilding block transportation43
Energy-Efficient UAV routing problem based on approximate cellular decomposition for geohazards monitoring43
Arc routing with trip-balancing and attractiveness measures — A waste collection case study42
MILP-based local search procedures for minimizing total tardiness in the No-idle Permutation Flowshop Problem42
Models and algorithms for configuring and testing prototype cars41
Scheduling jobs with shared additional operations on parallel identical machines41
Adjustable robust positive influence dominating set with partial payment40
Multi-Attribute Utility Deep Reinforcement Learning method for Sequential Multi-Criteria Decision problems: Application to human resource planning40
Optimizing strategic and operational decisions of car sharing systems under demand uncertainty and substitution40
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