Robustness properties of hill-climbing algorithm based on Zernike modes for laser beam correction

2014 ◽  
Vol 53 (10) ◽  
pp. B140 ◽  
Author(s):  
Ying Liu ◽  
Jianqiang Ma ◽  
Junjie Chen ◽  
Baoqing Li ◽  
Jiaru Chu
Keyword(s):  
Laser Beam ◽  
Hill Climbing ◽  
Hill Climbing Algorithm ◽  
Zernike Modes

The use of modified hill-climbing algorithm for laser beam focusing through the turbid medium

2017 ◽  
Author(s):  
Ilya Galaktionov ◽  
Alexis Kudryashov ◽  
Julia Sheldakova ◽  
Alexander Nikitin
Keyword(s):  
Laser Beam ◽  
Turbid Medium ◽  
Hill Climbing ◽  
Beam Focusing ◽  
Hill Climbing Algorithm

Hill-climbing algorithm based on Zernike modes for wavefront sensorless adaptive optics

2013 ◽  
Vol 52 (1) ◽  
pp. 016601 ◽  
Author(s):  
Ying Liu ◽  
Jianqiang Ma ◽  
Baoqing Li ◽  
Jiaru Chu
Keyword(s):  
Adaptive Optics ◽  
Hill Climbing ◽  
Hill Climbing Algorithm ◽  
Zernike Modes

scholarly journals A Hybrid Flower Pollination with β-Hill Climbing Algorithm for Global Optimization

2021 ◽  
Author(s):  
Zaid Abdi Alkareem Alyasseri ◽  
Mohammed Azmi Al-Betar ◽  
Mohammed A. Awadallah ◽  
Sharif Naser Makhadmeh ◽  
Ammar Kamal Abasi ◽  
...  
Keyword(s):  
Global Optimization ◽  
Hill Climbing ◽  
Hill Climbing Algorithm ◽  
Flower Pollination

scholarly journals RMHC-MR: Instance selection by random mutation hill climbing algorithm with MapReduce in big data

2017 ◽  
Vol 111 ◽  
pp. 252-259 ◽  
Author(s):  
Lu Si ◽  
Jie Yu ◽  
Wuyang Wu ◽  
Jun Ma ◽  
Qingbo Wu ◽  
...  
Keyword(s):  
Big Data ◽  
Hill Climbing ◽  
Instance Selection ◽  
Random Mutation ◽  
Hill Climbing Algorithm

scholarly journals Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm

2018 ◽  
Vol 1 (4) ◽  
pp. 44 ◽  
Author(s):  
Ali Rohan ◽  
Mohammed Rabah ◽  
Muhammad Talha ◽  
Sung-Ho Kim
Keyword(s):  
Power Transmission ◽  
Inductive Coupling ◽  
Hill Climbing ◽  
Wireless Power ◽  
Wireless Power Transmission ◽  
Battery Charging ◽  
Charging System ◽  
Charging Station ◽  
Hill Climbing Algorithm ◽  
The Poor

In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land it properly on a charging station or a charging device to get maximum coupling for efficient wireless power transmission. Normally, some physical sensors such as ultrasonic sensors and infrared sensors are used to align the transmitter and receiver for proper coupling and wireless power transmission; however, in this system, a novel method based on the hill climbing algorithm is proposed to control the coupling between the transmitter and a receiver without using any physical sensor. The feasibility of the proposed algorithm was checked using MATLAB. A practical test bench was developed for the system and several experiments were conducted under different scenarios. The system is fully automatic and gives 98.8% accuracy (achieved under different test scenarios) for mitigating the poor landing effect. Also, the efficiency η of 85% is achieved for wireless power transmission. The test results show that the proposed drone battery charging system is efficient enough to mitigate the coupling effect caused by the poor landing of the drone, with the possibility to land freely on the charging station without the worry of power transmission loss.

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