Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration DOI
Yongsheng Li,

Qing Sun,

Limao Zhang

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 156, P. 105127 - 105127

Published: Oct. 31, 2023

Language: Английский

Analog circuit sizing based on Evolutionary Algorithms and deep learning DOI
Abdelaziz Lberni, Malika Alami Marktani, Abdelaziz Ahaitouf

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121480 - 121480

Published: Sept. 9, 2023

Language: Английский

Citations

8
A Multi-strategy Enhanced Arithmetic Optimization Algorithm and Its Application in Path Planning of Mobile Robots DOI Creative Commons

Xuzhen Deng,

Dengxu He, Liangdong Qu

et al.

Neural Processing Letters, Journal Year: 2024, Volume and Issue: 56(1)

Published: Feb. 7, 2024

Abstract A multi-strategy enhanced arithmetic optimization algorithm called MSEAOA is proposed to address the issues of low population diversity, imbalanced exploration and exploitation capabilities, accuracy optimal solution in Arithmetic Optimization Algorithm. Firstly, using good point set strategy for initialization improve diversity thus accelerate convergence speed. Secondly, we integrate exploition capabilities differential self-learning strategy, best example learning second-order perturbation balancing algorithm. Finally, introduction somersault foraging improves solution. We select 14 classical benchmark test functions CEC2019 function ability MSEAOA, apply path planning problem mobile robots. compared with other meta-heuristic algorithms, experimental results are statistically analyzed by Wilcoxon rank-sum test. The simulation show that performs among functions, but 10 has performance 5 them (50%). In robots, obtained also all its shortening rate exceeds 8.8% 83% environments. indicate a reliable suitable practical problems.

Language: Английский

Citations

3
Synergistic registration of CT-MRI brain images and retinal images: A novel approach leveraging reinforcement learning and modified artificial rabbit optimization DOI

Xiaolei Luo,

Hua Zou, Yi Hu

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 585, P. 127506 - 127506

Published: March 6, 2024

Language: Английский

Citations

3
UAV formation path planning for mountainous forest terrain utilizing an artificial rabbit optimizer incorporating reinforcement learning and thermal conduction search strategies DOI
Wentao Wang, Xiaoli Li, Jun Tian

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102947 - 102947

Published: Oct. 1, 2024

Language: Английский

Citations

2
Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration DOI
Yongsheng Li,

Qing Sun,

Limao Zhang

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 156, P. 105127 - 105127

Published: Oct. 31, 2023

Language: Английский

Citations

6