Computers & Operations Research

Papers
(The H4-Index of Computers & Operations Research is 41. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Addendum to “FPBH: A feasibility pump based heuristic for multi-objective mixed integer linear programming” [Comput. Oper. Res. 112 (2019) 104760]179
Arc routing with trip-balancing and attractiveness measures — A waste collection case study145
A proactive aircraft recovery approach based on airport spatiotemporal network supply and demand coordination145
A logic-based Benders decomposition solution approach for two covering problems that consider the underlying transportation122
Hybrid genetic search for the traveling salesman problem with hybrid electric vehicle and time windows103
ILS-based algorithms for the profit maximizing uncapacitated hub network design problem with multiple allocation94
Home healthcare staff dimensioning problem for temporary caregivers: A matheuristic solution approach82
Effective constructive heuristics for distributed no-wait flexible flow shop scheduling problem78
Stochastic production routing problem for perishable products: Modeling and a solution algorithm78
On some lower bounds for the permutation flowshop problem75
Collaborative optimization of last-train timetables for metro network to increase service time for passengers73
Reducing disease spread through optimization: Limiting mixture of the population is more important than limiting group sizes72
VNSMAS: A constraint-based portfolio profit maximization67
Multi-objective shipment consolidation and dispatching problem66
Integrated packing and routing: A model and its solutions66
A slope scaling heuristic for the multi-period strategic planning of carbon capture and storage64
New lower bounds on the cutwidth of graphs63
Logic-based Benders decomposition with a partial assignment acceleration technique for avionics scheduling59
Editorial Board59
A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search55
Energy-Efficient UAV routing problem based on approximate cellular decomposition for geohazards monitoring55
Using machine learning to identify hidden constraints in vehicle routing problems53
Sequential customers’ decisions in facility location with comparison-shopping53
An investigation of nature inspired algorithms on a particular vehicle routing problem in the presence of shift assignment53
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system50
Novel mathematical formulations for parallel-batching processing machine scheduling problems50
Offline approximate value iteration for dynamic solutions to the multivehicle routing problem with stochastic demand50
Time window optimization for attended home service delivery under multiple sources of uncertainties47
Branch-and-price algorithms for large-scale mission-oriented maintenance planning problems46
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm46
Scheduling jobs with shared additional operations on parallel identical machines45
A genetic algorithm to solve the production lot-sizing problem with capacity adjustment45
Models and algorithms for configuring and testing prototype cars45
Meta-learning for dynamic multi-robot task scheduling44
Dynamic inventory control and pricing strategies for perishable products considering both profit and waste44
Decentralized online integer programming problems with a coupling cardinality constraint44
Two-stage robust optimization for public health emergency project scheduling with uncertain activity durations43
The team orienteering problem with service times and mandatory & incompatible nodes42
Variants of Harsanyi’s tracing procedures for selecting a perfect stationary equilibrium in stochastic games42
Dynamic programming in inventory management: A review41
Solving weighted Maximum Satisfiability with Branch and Bound and clause learning41
An ALNS metaheuristic for the family multiple traveling salesman problem41
0.055343151092529