earticle

논문검색

Schema Theorem Based on Probability for Multigenic Chromosomes Genes Expression Programming

초록

영어

Schema theorem is the theoretical foundation of the evolutionary algorithm. This paper focuses on a new, and general schema theory for multigenic chromosomes gene expression programming. The theory is applicable to every operator in GEP via the method of probability. Not only the destruction but also the creation probability of the schema is considered in the evolutionary process. An equivalent form of general schema theory of GEP was deduced. The result shows that the individuals with high fitness values, shorter schema order, more function nodes, and the shorter the insertion sequence have the greater transmission probability than the average ones.

목차

Abstract
 1. Introduction
 2. Gene-hyperschema Theorem and Multigenic Chromosomes GEP Schema
  2.1. Gene-hyperschema
  2.2. Multigenic Chromosomes GEP Schema
 3. General Schema Theory for Multigenic Chromosomes Gene Expression Programming
  3.1. The design of replication and selection operators
  3.2. The Design of Mutation Operator
  3.3. The Design of IS Transposition
  3.4. The Design of RIS Transposition
  3.5. The Design of Gene Transposition
  3.6. The Design of One-Point Recombination
  3.7. The Design of Two-Point Recombination
  3.8. The Design of Gene Recombination
  3.9. General Schema Theory for Multigenic Chromosomes Gene Expression Programming
 4. Conclusions and Prospective
 References

저자정보

  • Huifang Cheng School of Information and Electric Engineering, Hebei University of Engineering Handan 056038, P.R. China
  • Jianli Zhao Hebei Electric Power Design & Research Institute, Shijiazhuang, 050031
  • Haitao Wang College of Science, Hebei University of Engineering, Handan 056038

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.