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On-line three-dimensional packing problems: A review of off-line and on-line solution approaches
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 …
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
Since the multidepot vehicle routing problem with time windows and three-dimensional
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …
Mixed palletizing for smart warehouse environments: Sustainability review of existing methods
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 …
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 …
there is an emerging research interest in learning optimal bin packing policy and deploying …
Learning efficient online 3D bin packing on packing configuration trees
Online 3D Bin Packing Problem (3D-BPP) has widespread applications in industrial
automation and has aroused enthusiastic research interest recently. Existing methods …
automation and has aroused enthusiastic research interest recently. Existing methods …
Automating bin packing: A layer building matheuristics for cost effective logistics
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 …
configurations. This issue is crucial for the competitiveness of logistic companies and is still …
Adjustable robust reinforcement learning for online 3d bin packing
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 …
long-standing challenge, primarily due to the unpredictable nature of incoming box …
An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
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 …
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
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 …
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 …
packing problem (3DBPP). It is necessary to select the type and quantity of boxes and …