The vehicle routing problem
Optimal routing of multiple-load AGV subject to LIFO loading constraints
Computers and Operations Research
A GRASP Approach to the Container-Loading Problem
IEEE Intelligent Systems
Robust Branch-and-Cut-and-Price for the Capacitated Vehicle Routing Problem
Mathematical Programming: Series A and B
A Tabu Search Algorithm for a Routing and Container Loading Problem
Transportation Science
A Tabu search heuristic for the vehicle routing problem with two-dimensional loading constraints
Networks - Special Issue In Memory of Stefano Pallottino
Mathematical Programming: Series A and B
The pickup and delivery traveling salesman problem with first-in-first-out loading
Computers and Operations Research
An Exact Approach for the Vehicle Routing Problem with Two-Dimensional Loading Constraints
Transportation Science
INFORMS Journal on Computing
A unified exact method for solving different classes of vehicle routing problems
Mathematical Programming: Series A and B
A Survey on Vehicle Routing Problem with Loading Constraints
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 02
Branch-and-cut for the pickup and delivery traveling salesman problem with FIFO loading
Computers and Operations Research
IEEE Transactions on Intelligent Transportation Systems
Honey Bees Mating Optimization algorithm for large scale vehicle routing problems
Natural Computing: an international journal
The Traveling Salesman Problem with Pickups, Deliveries, and Handling Costs
Transportation Science
Computers and Operations Research
Three-dimensional container loading models with cargo stability and load bearing constraints
Computers and Operations Research
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This paper addresses a recently practical combinatorial problem named Three-Dimensional Loading Capacitated Vehicle Routing Problem, which combines three-dimensional loading problem and vehicle routing problem in distribution logistics. The problem requires a combinatorial optimization of a feasible loading and successive routing of vehicles to satisfy customer demands, where all vehicles must start and finish at a central depot. The goal of this combinatorial problem is to minimize the total transportation cost while serving customers. Despite its clearly practical significance in the real world distribution management, for its high combinatorial complexity, published papers on this problem in literature are very limited. We present a hybrid approach which combines Honey Bee Mating Optimization and six loading heuristics, one for vehicle routing and the other for three-dimensional loading, to solve the integrated problem. We computationally evaluate this hybrid approach on all publicly available test instances, and obtain new best solutions for several scenarios.