[1] FIRAS A Q, DENIS G. A multi-objective genetic method minimizing tardiness and energy consumption during idle times[J]. Ifac Papersonline, 2015, 48(3):1216-1223. [2] ZHANG Y F, WANG J, LIU Y. Game theory based real-time multi-objective flexible job shop scheduling considering environmental impact[J]. Journal of Cleaner Prodection, 2017, 167:665-679. [3] WU X L, SUN Y J. A green scheduling algorithm for flexible job shop with energy-saving measures[J]. Journal of Cleaner Prodection, 2016, 65(C):52-67. [4] 赵诗奎. 求解柔性作业车间问题的两级邻域搜索混合算法[J]. 机械工程学报, 2015, 51(14):175-184. ZHAO Shikui. Bilevel neighborhood search hybrid algorithm for the flexible job shop scheduling problem[J]. Journal of Mechanical Engineering, 2015, 51(14):175-184. [5] ZHAO N, YE S, LI K D, et al. Effective iterated greedy algorithm for flow-shop scheduling problems with time lags[J]. Chinese Journal of Mechanical Engineering, 2017, 30(3):652-662. [6] 谢志强,于洁,陈德运,等. 基于邻域渲染的二车间综合调度算法[J]. 机械工程学报, 2016, 52(1):149-159. XIE Zhiqiang, YU Jie, CHEN Deyun, et al. Integrated scheduling algorithm of two workshops based on the principle of the neighborhood rendering[J]. Journal of Mechanical Engineering, 2016, 52(1):149-159. [7] GAO K Z, SUGANTHAN P N, PAN Q K, et al. An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time[J]. Expert Systems with Applications An International Journal, 2016, 65(C):52-67. [8] NOURI E H, DRISS O B, GHEDIRA K. Hybrid Metaheuristics within a holonic multiagent model for the flexible job shop problem[J]. Procedia Computers Science, 2015, 60(1):83-92. [9] KACEM I, HAMMADI S, BORNE P. Approach by localization and multi-objective evolutionary optimization for flexible job-shop scheduling problems[J]. Systems Man & Cybernetics Part C Applications & Reviews IEEE Transactions on, 2002, 32(1):1-13. [10] XIA W, WU Z. An effective hybrid optimization approachfor multi-objective flexible job-shop scheduling problems[J]. Computers & Industrial Engineering, 2005, 48(2):409-425. [11] ZHANG G, SHAO X, LI P, et al. An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem[J]. Computers & Industrial Engineering, 2009, 56(4):1309-1318. [12] HUANG R H, YU S C, CHEN P H. Energy-saving scheduling in a flexible flow shop using a hybrid genetic algorithm[J]. Journal of Environmental Protection, 2017, 8(10):1037-1056 [13] LIU Y, DONG H, LOHSE N, et al. An investigation into minimising total energy consumption and total weighted tardiness in job shops[J]. Journal of Cleaner Production, 2014, 65(4):87-96. [14] DAI M, TANG D B, ADRIANA G, et al. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm[J]. Robotics and Computer-Integrated Manufacturing, 2013, 29(5):418-429. [15] 何彦,王乐祥,李玉锋,等. 一种面向机械车间柔性工艺路线的加工任务节能调度方法[J]. 机械工程学报, 2016, 52(19):168-179. HE Y, WANG Lexiang, LI Yufeng, et al. A scheduling method for reducing energy consumption of machining job shops considering the flexible process plan[J]. Journal of Mechanical Engineering, 2016, 52(19):168-179. [16] TANG D B, DAI M. Energy-efficient approach to minimizing the energy consumption in an extended job-shop scheduling problem[J]. Chinese Journal of Mechanical Engineering, 2015, 28(5):1048-1055. [17] ZHANG R, CHIONG R. Solving the energy-efficient job shop scheduling problem:A multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption[J]. Journal of Cleanner Production, 2015, 12:3361-3375. [18] 刘晓冰,焦璇,宁涛,等. 基于双链量子遗传算法的柔性作业车间调度[J]. 计算机集成制造系统,2015,21(2):495-502. LIU Xiaobing, JIAO Xuan, NING Tao, et al. Flexible job shop scheduling based on double chains quantum genetic algorithm[J]. Computer Integrated Manufacturing Systems, 2015, 21(2):495-502. [19] 何利,刘永贤,谢华龙,等. 基于粒子群算法的车间调度与优化[J]. 东北大学学报, 2008, 29(4):565-568. HE Li, LIU Yongxian, XIE Hualong, et al. Job shop scheduling and its optimization based on particle swarm optimizer[J]. Journal of Northeastern University, 2008, 29(4):565-568. [20] 施金良,刘飞,徐弟建,等. 数控机床空载运行时节能决策模型及实用方法[J]. 中国机械工程, 2009, 20(11):1344-1346. SHI Jinlaing, LIU Fei, XU Dijian, et al. Decision model and practical method of energy-saving in NC machine tool[J]. China Mechanical Engineering, 2009, 20(11):1344-1346. [21] LUO D, WANG X. The multi-attribute grey target decision method for attribute value within three-parameter interval grey number[J]. Applied Mathematical Modelling, 2012, 36(5):1957-1963. [22] EROL R, SAHIN C, BAYKASOGLU A, et al. A multi-agent based approach to dynamic scheduling of machines and automated guided vehicles in manufacturing systems[J]. Applied Soft Computing, 2012, 12(6):1720-1732. [23] 彭建刚,刘明周,张铭鑫,等. 基于改进非支配排序的云模型进化多目标柔性作业车间调度[J]. 机械工程学报, 2014, 50(12):198-205. PENG Jiangang, LIU Mingzhou, ZHANG Mingxin, et al. Cloud model evolutionary multi-objective flexible job-shop scheduling based on improved non-dominated sorting[J]. Journal of Mechanical Engineering, 2014, 50(12):198-205. |