[1] 卫田. 物流配送中车辆路径问题的多目标优化算法研究[D]. 北京:清华大学, 2007
[2] 高媛. 非支配排序遗传算法(NSGA)的研究与应用[D]. 杭州:浙江大学, 2006.
[3] 郑强. 带精英策略的非支配排序遗传算法的研究与应用[D]. 杭州:浙江大学, 2006.
[4] 李莉. 基于遗传算法的多目标寻优策略的应用研究[D]. 无锡:江南大学, 2008.
[5] 李超,赵荣珍,刘振全. 涡旋压缩机机构误差对密封间隙的影响分析[J]. 润滑与密封, 2007,32(7):66-68,71.
[6] 刘明周,吴俊峰,郭嘉. 基于遗传算法的机械产品多参数选配方法[J]. 农业机械学报, 2006,37(1):124-127,170.
[7] Boyer D E, Nazemets J W. Introducing statistical selective assembly: A means of producing high precision assemblies from low precision components[C]// Annual International Industrial Engineering Conference, Institute of Industrial Engineers. 1985:562-570.
[8] Kim H S. Analysis of selective assembly operations in manufacturing[D]. Evanston, USA: Northwestern University, 1994.
[9] Chan K C, Linn R J. A grouping method for selective assembly of parts of dissimilar distributions[J]. Quality Engineering, 1999,11(2):221-234.
[10]Kannan S M, Jayabalan V. A new grouping method to minimize surplus parts in selective assembly for complex assemblies[J]. International Journal of Production Research, 2001,39(9):1851-1863.
[11]Kannan S M, Jayabalan V, Jeevanantham K. Genetic algorithm for minimizing assembly variation inselective assembly[J]. International Journal of Production Research, 2003,41(14):3301-3313.
[12]Mease D, Vijayan N N, Agus S. Selective assembly in manufacturing: Statistical issues and optimal binning strategies[J]. Technometrics, 2004,46(2):165-175.
[13]崔海波. 基于NSGA-II的炮兵群火力分配问题研究[D]. 长沙:国防科技大学, 2010.
[14]徐知行,刘向勇,周晓勤. 基于蚁群算法的选择装配[J]. 现代制造工程, 2007(9):83-85, 106. |