Dissertation > Excellent graduate degree dissertation topics show

Research of QGA on the Mechanical Optimization Problems

Author: PeiFeiFei
Tutor: XiongHeGen
School: Wuhan University of Science and Technology
Course: Mechanical Design and Theory
Keywords: genetic algorithm quantum computing quantum genetic algorithm real number coding
Type: Master's thesis
Year: 2010
Downloads: 146
Quote: 0
Read: Download Dissertation


Optimization design, as a new branch of science in recent years, is the result of optimization technique and computer technology applied in design.Optimization design provides an important scientific design method for engineering designer, which seeks the most perfect and optimum design proposal and greatly improves design efficiency and quality. Genetic Algorithm (GA) is an overall random searching method based on the Darwin’s evolution and Mendelian. Genetic algorithm has better adaptability and wide accomodation. But it also has the disadvantages of poor local search ability, slow convergence and other defects. Quantum Genetic Algorithm (Quantum Genetic QGA) is produced by combining Quantum computing and Genetic Algorithm. And it is got enormous attention because of its small population size, higher ability to find the global optimal value, fast convergence rate and time-saving.Based on QGA ,a new Real Coded Quantum Genetic Algorithm(RQGA)come up in this paper. And the example system demonstrates the effectivity and effeciency of the proposed method compared with SGA and QGA. The main research contents are as follows:(1) Propose a new algorithm named Real Coded Quantum Genetic Algorithm(RQGA). After systematically introduce algorithm flow chart, key techniques and characteristics of SA and QGA, based on the characteristics of mechanical optimization problems, this paper proposes a new real number coded quantum genetic algorithm, and introduces coding method, operators, algorithm flow chart and etc. Further more, this paper also describes the algorithm implementation based on a Java language.(2) Take reducer that is widely used in mechanical for example, and study the application of RQGA in the mechanical structure optimization design.Establish the optimization model, adopt RQGA to solve it, and analyze by comparison to the solution of SA and QGA. And the comparision shows the validity and feasibility of the RQGA.(3) Take rod mechanism widely used in mechanical for example, and study the application of RQGA in the mechanism optimum design. Establish the optimization model, adopt RQGA to solve it, and analyze by comparison to the solution of SA and QGA. And the comparision shows the validity and feasibility of the RQGA. For connecting rod mechanism path optimization problem, there are large deviations between the optimal solutions and the targets. So the objective function is improved, but the problem is still not got reasonable solution. Therefore, for connecting rod mechanism path optimization problem, the QGA is still need to research and improve.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  3. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  4. Design and Realization of the Magnetic Antenna in MW and SW Bands Based on Genetic Algorithm,TN820
  5. Citrus Image Segmentation Based on Genetic Algorithm,TP391.41
  6. Research of Scheduling Algorithm Based on Hybrid Adaptive Genetic Algorithm in Computing Grid,TP393.09
  7. Public Transport Optimal Dispatching Based on the Genetic-Newton Algorithm,TP18
  8. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  9. The Research on Texture Synthesis Technology from Cloud Theory & Been Evolution Genetic Algorithm,TP391.41
  10. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  11. Mining resources based on genetic algorithm optimization model of,O224
  12. The magnetorheological damper mechanical properties and Gun Recoil,TB535.1
  13. Optimization Study on Gating System and Molding Process Parameters of Injection Mold Based on Simulation,TQ320.662
  14. Research on the Milling Performance and Parameters Optimization with Large Parts of Heavy Machine,TG54
  15. Research of Adaptive Active Noise Control Based on Neural Network,TP183
  16. The Design and Implementation of Email Analysis and Forensies System,D918.2
  17. Sdesign and Implementation of Course Scheduling Management System,TP311.52
  18. Sentence Similarity Computing Research and Application of Intelligent Question Answering System,TP391.1
  19. The Study and Development of Production Planning and Management System for Small and Medium Discrete Enterprises,TP311.52
  20. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  21. Research on Oranically-Structured of Expanding Large Scale Systems Based on Parameter Optimization,TP273

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
© 2012 www.DissertationTopic.Net  Mobile