Earticle

초록

영어

When making wood board production, defects on board will influence the machining process automation degree. Therefore, how to fast, accurately remove of wood defects and realize optimal combination cutting stock problem has always been a research hotspot in the field of wood processing. According to the decayed wood board, the paper designed the one dimensional optimization cutting stock combined scheme and mathematical model, adopted the adaptive genetic algorithm imitating the biology evolution to code some optimization scheme initialized by chance, and improved these schemes by selection, crossover and mutation operation. At last these schemes converged to the optimum. The results showed that the adaptive genetic algorithm can achieve a good one dimensional wood board optimization cutting stock problem, through the realization of genetic algorithm in MATLAB, and makes the wood board utilization rate reached 98.9%.

목차

Abstract
 1. Introduction
 2. Genetic Algorithm for Optimized Stock Cutting Combinations
  2.1. Design of Fitness Function
  2.2 Individual Encoding and Generation of Initial Population
  2.3 Selection, Crossover and Mutation Operations
  2.4 Termination Condition
 3. Treatment of Defects of Wood Board
 4. Results of Operation
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Wenshu Lin [ College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China ]
• Dan Mu [ College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China ]
• Jinzhuo Wu [ College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605