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 …
RIME: A physics-based optimization
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 …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
[HTML][HTML] 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 …
industries such as shipbuilding, metalworking, automotive production, aerospace, clothing …
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 …
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …
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 …
development of medical diagnostics. Based on this matter, in this research, a multi-level …
Feature selection and training multilayer perceptron neural networks using grasshopper optimization algorithm for design optimal classifier of big data sonar
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 …
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …
Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine …
Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …
Spiral Gaussian mutation sine cosine algorithm: framework and comprehensive performance optimization
W Zhou, P Wang, AA Heidari, X Zhao… - Expert Systems with …, 2022 - Elsevier
Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …
which is in the extensive application for a variety of optimization cases. Regardless of 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 …
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 …