A review on learning to solve combinatorial optimisation problems in manufacturing

C Zhang, Y Wu, Y Ma, W Song, Z Le… - IET Collaborative …, 2023 - Wiley Online Library
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 …

Two-dimensional irregular packing problems: A review

B Guo, Y Zhang, J Hu, J Li, F Wu, Q Peng… - Frontiers in Mechanical …, 2022 - frontiersin.org
Two-dimensional (2D) irregular packing problems are widespread in manufacturing
industries such as shipbuilding, metalworking, automotive production, aerospace, clothing …

RIME: A physics-based optimization

H Su, D Zhao, AA Heidari, L Liu, X Zhang, M Mafarja… - Neurocomputing, 2023 - Elsevier
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …

A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

RMA Ikram, AA Dehrashid, B Zhang, Z Chen… - … Research and Risk …, 2023 - Springer
Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

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 …

Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution

L Ren, D Zhao, X Zhao, W Chen, L Li, TS Wu… - Computers in Biology …, 2022 - Elsevier
The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …

Retracted: Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support …

S Zhang, AH Omar, AS Hashim, T Alam, HAEW Khalifa… - 2023 - Elsevier
Following an investigation into a number of papers published as part of the Urban
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …

Feature selection and training multilayer perceptron neural networks using grasshopper optimization algorithm for design optimal classifier of big data sonar

H Kosarirad, M Ghasempour Nejati, A Saffari… - Journal of …, 2022 - Wiley Online Library
The complexity and high dimensions of big data sonar, as well as the unavoidable presence
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …

Towards reliable robot packing system based on deep reinforcement learning

H **ong, K Ding, W Ding, J Peng, J Xu - Advanced Engineering Informatics, 2023 - Elsevier
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 …

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 …