On-line three-dimensional packing problems: A review of off-line and on-line solution approaches

S Ali, AG Ramos, MA Carravilla, JF Oliveira - Computers & Industrial …, 2022 - Elsevier
Abstract Three-Dimensional Packing Problems (3D-PPs) can be applied to effectively
reduce logistics costs in various areas, such as airline cargo management and warehouse …

A clustering-based extended genetic algorithm for the multidepot vehicle routing problem with time windows and three-dimensional loading constraints

Y Wang, Y Wei, X Wang, Z Wang, H Wang - Applied Soft Computing, 2023 - Elsevier
Since the multidepot vehicle routing problem with time windows and three-dimensional
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …

Mixed palletizing for smart warehouse environments: Sustainability review of existing methods

A Daios, N Kladovasilakis, I Kostavelis - Sustainability, 2024 - mdpi.com
Mixed palletizing constitutes one of the problems in the logistics domain aroused from the
need for fast product movement to satisfy the continuously increasing number of customers …

Heuristics integrated deep reinforcement learning for online 3d bin packing

S Yang, S Song, S Chu, R Song… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Online 3D Bin Packing Problem (3D-BPP) has a wide range of industrial applications and
there is an emerging research interest in learning optimal bin packing policy and deploying …

Learning efficient online 3D bin packing on packing configuration trees

H Zhao, Y Yu, K Xu - International conference on learning …, 2021 - openreview.net
Online 3D Bin Packing Problem (3D-BPP) has widespread applications in industrial
automation and has aroused enthusiastic research interest recently. Existing methods …

Automating bin packing: A layer building matheuristics for cost effective logistics

G Tresca, G Cavone, R Carli… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of automating the definition of feasible pallets
configurations. This issue is crucial for the competitiveness of logistic companies and is still …

Adjustable robust reinforcement learning for online 3d bin packing

Y Pan, Y Chen, F Lin - Advances in Neural Information …, 2023 - proceedings.neurips.cc
Designing effective policies for the online 3D bin packing problem (3D-BPP) has been a
long-standing challenge, primarily due to the unpredictable nature of incoming box …

An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems

H Gezici, H Livatyali - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization
algorithm that has been used for the solution of test functions and real-world problems by …

A multi-heuristic algorithm for multi-container 3-d bin packing problem optimization using real world constraints

AA Ananno, L Ribeiro - IEEE Access, 2024 - ieeexplore.ieee.org
With the growing demand for sustainable and optimal packaging solutions, this study
proposes a novel two-stage algorithm for the multi-container three-dimensional bin packing …

The 3D bin packing problem for multiple boxes and irregular items based on deep Q-network

H Liu, L Zhou, J Yang, J Zhao - Applied Intelligence, 2023 - Springer
Irregular packing in e-commerce warehouses is a special case of a three-dimensional box
packing problem (3DBPP). It is necessary to select the type and quantity of boxes and …