earticle

논문검색

Electronic Circuit Optimization Design Algorithm based on Adaptive Culture Search

초록

영어

Electronic circuit optimization design is important research field in engineering applications. Circuit scale and the time of evaluate the circuit are the challenge problems for circuit optimization design algorithm and the traditional optimization algorithms cannot solve the two problems very well. Cultural Algorithms are a class of computational models derived from observing the cultural evolution process in nature. Aiming at the disadvantages of basic Cultural Algorithms like being trapped easily into a local optimum, this paper improves the basic Cultural Algorithms and proposes the improved cultural algorithm (ICA) to solve the overcomes of the basic Cultural Algorithms. The new algorithm keeps not only the fast convergence speed characteristic of basic Cultural Algorithms, but effectively improves the capability of global searching as well. For the case studies, the new algorithm means has proved to be efficient and the experiment results show that the new means have got the better results.

목차

Abstract
 1. Introduction
 2. Basic Cultural Algorithm
 3. Improved Cultural Algorithm
  3.1. Adaptive cultural search operator
  3.2. Improved Influence Function
  3.3. Elite Selection Mechanism
  3.4. Experiment results
 4. Circuit Optimization Design Problem
  4.1. Circuit Representation 
  4.2. Circuit evaluation
  4.3. Circuit Optimization Design Case
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Xuesong Yan School of Computer Science, China University of Geosciences
  • Qinghua Wu School of Computer Science and Engineering, Wuhan Institute of Technology
  • Chengyu Hu School of Computer Science, China University of Geosciences
  • Hong Yao School of Computer Science, China University of Geosciences
  • Hanmin Liu Wuhan Institute of Ship Building Technology

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.