正在加载图片...
·550· 智能系统学报 第14卷 PEI Xiaobing,ZHAO Heng.Permutation flow shop algorithm for machine scheduling problems[J].Annals of scheduling problem based on hybrid binary distribution operations research,2010,180(1):197-211. estimation algorithm[J].China mechanical engineering, [20]HSU C Y,CHANG P C,CHEN M H.A linkage mining 2017,28(22:2752-2759. in block-based evolutionary algorithm for permutation [16]张敏,汪洋,方侃.基于改进区块进化算法求解置换流 flowshop scheduling problem[J].Computers industrial 水车间问题[J].计算机集成制造系统,2018,24(5): engineering,2015,83:159-171. 1207-1216. 作者简介: ZHANG Min,WANG Yang,FANG Kan.Improved 裴小兵,男.1965生,教授,博士 block-based evolutionary algorithm for solving permuta- 主要研究方向为生产调度、精益生 tion flowshop scheduling problem[J].Computer integ- 产。发表学术论文14篇。 rated manufacturing systems,2018,24(5):1207-1216. [17]CHANG P C,CHEN Menghui.A block based estimation of distribution algorithm using bivariate model for scheduling problems[J].Soft computing,2014,18(6): 1177-1188 张春花,女,1992生,硕士研究 [18]MILLER B L,GOLDBERG D E.Genetic algorithms, 生,主要研究方向为生产调度、智能 算法。 tournament selection,and the effects of noise[J].Com- plex systems,1995,93):193-212. [19]CHANG P C,CHEN S H.FAN C Y,et al.Generating ar- tificial chromosomes with probability control in geneticPEI Xiaobing, ZHAO Heng. Permutation flow shop scheduling problem based on hybrid binary distribution estimation algorithm[J]. China mechanical engineering, 2017, 28(22): 2752–2759. 张敏, 汪洋, 方侃. 基于改进区块进化算法求解置换流 水车间问题[J]. 计算机集成制造系统, 2018, 24(5): 1207–1216. ZHANG Min, WANG Yang, FANG Kan. Improved block-based evolutionary algorithm for solving permuta￾tion flowshop scheduling problem[J]. Computer integ￾rated manufacturing systems, 2018, 24(5): 1207–1216. [16] CHANG P C, CHEN Menghui. A block based estimation of distribution algorithm using bivariate model for scheduling problems[J]. Soft computing, 2014, 18(6): 1177–1188. [17] MILLER B L, GOLDBERG D E. Genetic algorithms, tournament selection, and the effects of noise[J]. Com￾plex systems, 1995, 9(3): 193–212. [18] CHANG P C, CHEN S H, FAN C Y, et al. Generating ar￾tificial chromosomes with probability control in genetic [19] algorithm for machine scheduling problems[J]. Annals of operations research, 2010, 180(1): 197–211. HSU C Y, CHANG P C, CHEN M H. A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem[J]. Computers & industrial engineering, 2015, 83: 159–171. [20] 作者简介: 裴小兵,男,1965 生,教授,博士, 主要研究方向为生产调度、精益生 产。发表学术论文 14 篇。 张春花,女,1992 生,硕士研究 生,主要研究方向为生产调度、智能 算法。 ·550· 智 能 系 统 学 报 第 14 卷
<<向上翻页
©2008-现在 cucdc.com 高等教育资讯网 版权所有