期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2016
卷号：9
期号：4
页码：95-102
DOI：10.14257/ijfgcn.2016.9.4.09
出版社：SERSC
摘要：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%.
