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A Uniform-Design Based Multi-objective Adaptive Genetic Algorithm and Its Application to Automated Design of Electronic Circuits

  • Shuguang Zhao
  • Xinquan Lai
  • Mingying Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

The uniform design technique was integrated into an adaptive genetic algorithm for the sake of optimal design of circuits. The approach proposed features a dynamic evaluation mechanism of multi-objectives, an efficient encoding-decoding scheme based on preferred values, and a classified adaptation strategy of genetic parameters. It was validated by experiments.

Keywords

Multiobjective Optimization Uniform Design Adaptive Genetic Algorithm Multiobjective Optimization Technique Effective Circuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Zhao, S.: Study of the evolutionary design methods of electronic circuits. PhD dissertation (in Chinese). Xidian University, Xi’an (2003) Google Scholar
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    Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multi-objective optimization. Evolutionary Computation 1, 1–16 (1995)CrossRefGoogle Scholar
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    Leung, Y.W., Wang, Y.P.: Multiobjective programming using uniform design and genetic algorithm. IEEE Trans. on System Man and Cybernetics–Part C 3, 293–304 (2000)Google Scholar
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    Coello Coello, C.A.: An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys 2, 109–143 (2000)CrossRefGoogle Scholar
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    Fang, K.T., Ma, C.X.: Orthogonal and Uniform Experiment Design (in Chinese). Science Press, Beijing (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shuguang Zhao
    • 1
  • Xinquan Lai
    • 1
  • Mingying Zhao
    • 1
  1. 1.School of Electronic EngineeringXidian UniversityXi’anChina

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