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

Qing Sun,

Limao Zhang

и другие.

Automation in Construction, Год журнала: 2023, Номер 156, С. 105127 - 105127

Опубликована: Окт. 31, 2023

Язык: Английский

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

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 237, С. 121480 - 121480

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

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

и другие.

Neural Processing Letters, Год журнала: 2024, Номер 56(1)

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Neurocomputing, Год журнала: 2024, Номер 585, С. 127506 - 127506

Опубликована: Март 6, 2024

Язык: Английский

Процитировано

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

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102947 - 102947

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

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

Qing Sun,

Limao Zhang

и другие.

Automation in Construction, Год журнала: 2023, Номер 156, С. 105127 - 105127

Опубликована: Окт. 31, 2023

Язык: Английский

Процитировано

6