Delay optimization for ternary fixed polarity Reed–Muller circuits based on multilevel adaptive quantum genetic algorithm

2021 ◽  
Author(s):  
He Zhenxue ◽  
Wu Xiaoqian ◽  
Wang Chao ◽  
Huo Zhisheng ◽  
Xiao Limin ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Quantum Genetic Algorithm ◽  
Delay Optimization

Searching punctured convolutional codes based on quantum genetic algorithm

2013 ◽  
Vol 30 (6) ◽  
pp. 572-577 ◽  
Author(s):  
Weixia Zou ◽  
Guiye Wang ◽  
Zhenyu Wang ◽  
Guanglong Du ◽  
Ying Gao
Keyword(s):  
Genetic Algorithm ◽  
Convolutional Codes ◽  
Quantum Genetic Algorithm ◽  
Punctured Convolutional Codes

scholarly journals Research on Flight Trajectory Optimization Based on Quantum Genetic Algorithm

2020 ◽  
Vol 1549 ◽  
pp. 022074
Author(s):  
Yibo Li ◽  
Shuaitao Qin ◽  
Lei Jing
Keyword(s):  
Genetic Algorithm ◽  
Trajectory Optimization ◽  
Flight Trajectory ◽  
Quantum Genetic Algorithm

scholarly journals Quantum Genetic Terrain Algorithm (Q-GTA): A Technique to Study the Evolution of the Earth Using Quantum Genetic Algorithm

Proceedings ◽  
2019 ◽  
Vol 46 (1) ◽  
pp. 26
Author(s):  
Pranjal Sharma ◽  
Ankit Agarwal ◽  
Bhawna Chaudhary
Keyword(s):  
Genetic Algorithm ◽  
Isotopic Fractionation ◽  
Volcanic Eruptions ◽  
Temperature Characteristic ◽  
Isotopic Ratios ◽  
Mantle Lithosphere ◽  
Monitoring Networks ◽  
Temperature Changes ◽  
Quantum Genetic Algorithm ◽  
The Earth

In recent years, geologists have put in a lot of effort trying to study the evolution of Earth using different techniques studying rocks, gases, and water at different channels like mantle, lithosphere, and atmosphere. Some of the methods include estimation of heat flux between the atmosphere and sea ice, modeling global temperature changes, and groundwater monitoring networks. That being said, algorithms involving the study of Earth’s evolution have been a debated topic for decades. In addition, there is distinct research on the mantle, lithosphere, and atmosphere using isotopic fractionation, which this paper will take into consideration to form genes at the former stage. This factor of isotopic fractionation could be molded in QGA to study the Earth’s evolution. We combined these factors because the gases containing these isotopes move from mantle to lithosphere or atmosphere through gaps or volcanic eruptions contributing to it. We are likely to use the Rb/Sr and Sm/Nd ratios to study the evolution of these channels. This paper, in general, provides the idea of gathering some information about temperature changes by using isotopic ratios as chromosomes, in QGA the chromosomes depict the characteristic of a generation. Here these ratios depict the temperature characteristic and other steps of QGA would be molded to study these ratios in the form of temperature changes, which would further signify the evolution of Earth based on the study that temperature changes with the change in isotopic ratios. This paper will collect these distinct studies and embed them into an upgraded quantum genetic algorithm called Quantum Genetic Terrain Algorithm or Quantum GTA.

Information Technology in an Improved Quantum Genetic Algorithm Based on Dynamic Adjustment of Quantum Rotation Angle

2013 ◽  
Vol 859 ◽  
pp. 577-581
Author(s):  
Hui Xia Li ◽  
Yun Can Xue ◽  
Jian Qiang Zhang ◽  
Qi Wen Yang
Keyword(s):  
Genetic Algorithm ◽  
Information Technology ◽  
Rotation Angle ◽  
Local Optimum ◽  
Dynamic Adjustment ◽  
Excellent Performance ◽  
Simulation Experiments ◽  
Standard Quantum ◽  
Quantum Genetic Algorithm ◽  
Chaos Search

To overcome the shortcomings of precocity and being easily trapped into local optimum of the standard quantum genetic algorithm (QGA) , Information Technology in An Improved Quantum Genetic Algorithm based on dynamic adjustment of the quantum rotation angle of quantum gate (DAAQGA) was proposed. Mutation operation using the quantum not-gate is also introduced to enhance the diversity of population. Chaos search are also introduced into the modified algorithm to improve the search accuracy. Simulation experiments have been carried and the results show that the improved algorithm has excellent performance both in the preventing premature ability and in the search accuracy.

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