A review on learning to solve combinatorial optimisation problems in manufacturing
An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …
rapid development of science and technology and the progress of human society, the …
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 …
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 …
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Although several surveys on Neural Combinatorial Optimization (NCO) solvers specifically
designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing …
designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing …
Artificial intelligence in smart logistics cyber-physical systems: State-of-the-arts and potential applications
Y Liu, X Tao, X Li, AW Colombo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Logistics creates tremendous economic value through supporting the trading of goods
between firms and customers, thereby improving the welfare of the society. In order to …
between firms and customers, thereby improving the welfare of the society. In order to …
Learning gradient fields for scalable and generalizable irregular packing
The packing problem, also known as cutting or nesting, has diverse applications in logistics,
manufacturing, layout design, and atlas generation. It involves arranging irregularly shaped …
manufacturing, layout design, and atlas generation. It involves arranging irregularly shaped …
Learning based 2D irregular shape packing
2D irregular shape packing is a necessary step to arrange UV patches of a 3D model within
a texture atlas for memory-efficient appearance rendering in computer graphics. Being a …
a texture atlas for memory-efficient appearance rendering in computer graphics. Being a …
Towards reliable robot packing system based on deep reinforcement learning
Object packing by a robot has a wide range of applications in the logistics industry. This task
requires the variable size items to be picked from piles one by one and then packed into …
requires the variable size items to be picked from piles one by one and then packed into …
Learning physically realizable skills for online packing of general 3D shapes
We study the problem of learning online packing skills for irregular 3D shapes, which is
arguably the most challenging setting of bin packing problems. The goal is to consecutively …
arguably the most challenging setting of bin packing problems. The goal is to consecutively …
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization
Robotic bin packing is very challenging, especially when considering practical needs such
as object variety and packing compactness. This paper presents SDF-Pack, a new approach …
as object variety and packing compactness. This paper presents SDF-Pack, a new approach …