Genetic Algorithm Performance and the Influence of its Control Parameters on the Optimization of Optical Lens Design

2021 ◽  
Author(s):  
N. Hesam Mahmoudi Nezhad ◽  
M. Ghaffarian Niasar
Keyword(s):  
Genetic Algorithm ◽  
Lens Design ◽  
Control Parameters ◽  
Optical Lens ◽  
Algorithm Performance

Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus

2015 ◽  
Vol 352 (3) ◽  
pp. 776-801 ◽  
Author(s):  
Liang Li ◽  
Yahui Zhang ◽  
Chao Yang ◽  
Xiaohong Jiao ◽  
Lipeng Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Control Parameters ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Hybrid Electric ◽  
And Control

Eliminating chromatic aberration in Gauss-type lens design using a novel genetic algorithm

2007 ◽  
Vol 46 (13) ◽  
pp. 2401 ◽  
Author(s):  
Yi-Chin Fang ◽  
Chen-Mu Tsai ◽  
John MacDonald ◽  
Yang-Chieh Pai
Keyword(s):  
Genetic Algorithm ◽  
Chromatic Aberration ◽  
Lens Design ◽  
Gauss Type

Secondary Optical Lens Design for LED to Achieve Angular Deflection

2017 ◽  
Vol 54 (2) ◽  
pp. 022204
Author(s):  
曾赤良 Zeng Chiliang ◽  
廖文哲 Liao Wenzhe
Keyword(s):  
Lens Design ◽  
Optical Lens ◽  
Angular Deflection

scholarly journals Genetic Optimization-Based Consensus Control of Multi-Agent 6-DoF UAV System

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3576 ◽  
Author(s):  
Aws Najm ◽  
Ibraheem Ibraheem ◽  
Ahmad Azar ◽  
Amjad Humaidi
Keyword(s):  
Genetic Algorithm ◽  
Optimization Technique ◽  
Switching Topology ◽  
Control Law ◽  
Genetic Optimization ◽  
Multi Agent System ◽  
Control Parameters ◽  
Consensus Control ◽  
Communication Topology ◽  
Multi Agent

A consensus control law is proposed for a multi-agent system of quadrotors with leader–follower communication topology for three quadrotor agents. The genetic algorithm (GA) is the proposed optimization technique to tune the consensus control parameters. The complete nonlinear model is used without any further simplifications in the simulations, while simplification in the model is used to theoretically design the controller. Different case studies and tests are done (i.e., trajectory tracking formation and switching topology) to show the effectiveness of the proposed controller. The results show good performance in all tests while achieving the consensus of the desired formations.

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