Integration of process planning and scheduling—a modified genetic algorithm-based approach X Shao, X Li, L Gao, C Zhang Computers & Operations Research 36 (6), 2082-2096, 2009 | 280 | 2009 |
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling X Li, L Gao, X Shao, C Zhang, C Wang Computers & Operations Research 37 (4), 656-667, 2010 | 178 | 2010 |
A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates L Nie, L Gao, P Li, X Li Journal of Intelligent Manufacturing 24 (4), 763-774, 2013 | 155 | 2013 |
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling X Li, L Gao, W Li Expert Systems with Applications 39 (1), 288-297, 2012 | 148 | 2012 |
An agent-based approach for integrated process planning and scheduling X Li, C Zhang, L Gao, W Li, X Shao Expert Systems with Applications 37 (2), 1256-1264, 2010 | 145 | 2010 |
A review on integrated process planning and scheduling X Li, L Gao, C Zhang, X Shao International Journal of Manufacturing Research 5 (2), 161-180, 2010 | 138 | 2010 |
A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem L Zhang, L Gao, X Li International Journal of Production Research 51 (12), 3516-3531, 2013 | 136 | 2013 |
A differential evolution algorithm with intersect mutation operator Y Zhou, X Li, L Gao Applied Soft Computing 13 (1), 390-401, 2013 | 122 | 2013 |
An efficient memetic algorithm for solving the job shop scheduling problem L Gao, G Zhang, L Zhang, X Li Computers & Industrial Engineering 60 (4), 699-705, 2011 | 117 | 2011 |
An effective hybrid algorithm for integrated process planning and scheduling X Li, X Shao, L Gao, W Qian International Journal of Production Economics 126 (2), 289-298, 2010 | 112 | 2010 |
Integrated process planning and scheduling using an imperialist competitive algorithm K Lian, C Zhang, L Gao, X Li International Journal of Production Research 50 (15), 4326-4343, 2012 | 104 | 2012 |
Application of an efficient modified particle swarm optimization algorithm for process planning X Li, L Gao, X Wen The International Journal of Advanced Manufacturing Technology 67 (5-8 …, 2013 | 97 | 2013 |
An active learning genetic algorithm for integrated process planning and scheduling X Li, L Gao, X Shao Expert Systems with Applications 39 (8), 6683-6691, 2012 | 92 | 2012 |
Dynamic rescheduling in FMS that is simultaneously considering energy consumption and schedule efficiency L Zhang, X Li, L Gao, G Zhang The International Journal of Advanced Manufacturing Technology, 1-13, 2013 | 79 | 2013 |
Modeling and impact factors analyzing of energy consumption in CNC face milling using GRASP gene expression programming Y Yang, X Li, L Gao, X Shao The International Journal of Advanced Manufacturing Technology, 1-17, 2013 | 75* | 2013 |
Application of memetic algorithm in assembly sequence planning L Gao, W Qian, X Li, J Wang The International Journal of Advanced Manufacturing Technology 49 (9-12 …, 2010 | 73 | 2010 |
Optimization of flexible process planning by genetic programming XY Li, XY Shao, L Gao The International Journal of Advanced Manufacturing Technology 38 (1-2), 143-153, 2008 | 71 | 2008 |
An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process L Gao, J Huang, X Li Applied Soft Computing 12 (11), 3490-3499, 2012 | 62 | 2012 |
Honey bees mating optimization algorithm for process planning problem X Wen, X Li, L Gao, H Sang Journal of Intelligent Manufacturing 25 (3), 459-472, 2014 | 57 | 2014 |
A hybrid intelligent algorithm and rescheduling technique for job shop scheduling problems with disruptions L Zhang, L Gao, X Li The International Journal of Advanced Manufacturing Technology 65 (5-8 …, 2013 | 44 | 2013 |