Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem
The rise and integration of Industry 4.0 has led to a growing focus on the flexible job-shop
scheduling problem (FJSP). As an extension of the classic job-shop scheduling problem …
scheduling problem (FJSP). As an extension of the classic job-shop scheduling problem …
CMRLCCOA: Multi-Strategy Enhanced Coati Optimization Algorithm for Engineering Designs and Hypersonic Vehicle Path Planning
G Hu, H Zhang, N Xie, AG Hussien - Biomimetics, 2024 - mdpi.com
The recently introduced coati optimization algorithm suffers from drawbacks such as slow
search velocity and weak optimization precision. An enhanced coati optimization algorithm …
search velocity and weak optimization precision. An enhanced coati optimization algorithm …
Chaotic Artificial Algae Algorithm for Solving Global Optimization With Real-World Space Trajectory Design Problems
The artificial algae algorithm (AAA) is a recently introduced metaheuristic algorithm inspired
by the behavior and characteristics of microalgae. Like other metaheuristic algorithms, AAA …
by the behavior and characteristics of microalgae. Like other metaheuristic algorithms, AAA …
A multi-strategy improved beluga whale optimization algorithm for constrained engineering problems
Beluga whale optimization (BWO) has received widespread attention in scientific and
engineering domains. However, BWO suffers from limited adaptability, weak anti-stagnation …
engineering domains. However, BWO suffers from limited adaptability, weak anti-stagnation …
[HTML][HTML] Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer
J Zhang, Y Diao - Mathematics, 2024 - mdpi.com
Extreme learning machines (ELMs), single hidden-layer feedforward neural networks, are
renowned for their speed and efficiency in classification and regression tasks. However …
renowned for their speed and efficiency in classification and regression tasks. However …
Longitudinal vibration estimation of a mine hoist using a hybrid signal fusion method combining UKF, ND and improved DE
X Chen, C Zhang, JC Chang, GM Zhao… - Measurement …, 2024 - iopscience.iop.org
The monitoring of cage longitudinal vibration can directly indicate the operational status of
mine hoists. However, it is always challenging to collect the sensor signals of moving cages …
mine hoists. However, it is always challenging to collect the sensor signals of moving cages …
A Fault Recovery Method for Distribution Networks With Distributed Power Sources Based on 5G Smart Terminal
Q Guo, AM Tuxun - … Journal of Swarm Intelligence Research (IJSIR), 2024 - igi-global.com
Firstly, a smart terminal is designed based on 5G communication technology, which is
embedded with various protection measurement devices to form a 5G smart terminal. A …
embedded with various protection measurement devices to form a 5G smart terminal. A …
Credit Risk Assessment and Prediction Algorithm of Commercial Banks
X Zhang - Journal of Electrical Systems, 2024 - search.proquest.com
Commercial banks are vital to the monetary system because of their indispensable part in
the procedures of capital circulation (CC), capital integration (CI), capital resource allocation …
the procedures of capital circulation (CC), capital integration (CI), capital resource allocation …
Golden Sine SABO Integrating Multiple Strategies
Z Liu, H Liang, S Li, R Wang, Y Han - Proceedings of the 4th …, 2023 - dl.acm.org
In order to solve the problem of the subtraction-average-based optimizer (SABO), which is
difficult to effectively balance the local development and global search capability, golden …
difficult to effectively balance the local development and global search capability, golden …