| A genetic algorithm approach for multi-objective optimization of supply chain networks F Altiparmak, M Gen, L Lin, T Paksoy Computers & industrial engineering 51 (1), 196-215, 2006 | 884 | 2006 |
| Network models and optimization: Multiobjective genetic algorithm approach M Gen, R Cheng, L Lin Springer Science & Business Media, 2008 | 746 | 2008 |
| A genetic algorithm for two-stage transportation problem using priority-based encoding M Gen, F Altiparmak, L Lin OR spectrum 28, 337-354, 2006 | 372 | 2006 |
| A steady-state genetic algorithm for multi-product supply chain network design F Altiparmak, M Gen, L Lin, I Karaoglan Computers & industrial engineering 56 (2), 521-537, 2009 | 352 | 2009 |
| Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey M Gen, L Lin Journal of Intelligent Manufacturing 25, 849-866, 2014 | 220 | 2014 |
| Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation L Lin, M Gen Soft Computing 13, 157-168, 2009 | 205 | 2009 |
| Integrated multistage logistics network design by using hybrid evolutionary algorithm L Lin, M Gen, X Wang Computers & industrial engineering 56 (3), 854-873, 2009 | 142 | 2009 |
| Multistage-based genetic algorithm for flexible job-shop scheduling problem M Gen, J Gao, L Lin Intelligent and evolutionary systems, 183-196, 2009 | 105 | 2009 |
| Evolutionary techniques for optimization problems in integrated manufacturing system: State-of-the-art-survey M Gen, L Lin, H Zhang Computers & industrial engineering 56 (3), 779-808, 2009 | 100 | 2009 |
| A hybrid cooperative coevolution algorithm for fuzzy flexible job shop scheduling L Sun, L Lin, M Gen, H Li IEEE Transactions on Fuzzy Systems 27 (5), 1008-1022, 2019 | 97 | 2019 |
| Network model and effective evolutionary approach for AGV dispatching in manufacturing system L Lin, SW Shinn, M Gen, H Hwang Journal of Intelligent Manufacturing 17, 465-477, 2006 | 90 | 2006 |
| Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling M Gen, W Zhang, L Lin, YS Yun Computers & Industrial Engineering 112, 616-633, 2017 | 71 | 2017 |
| Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications L Lin, M Gen International Journal of Production Research 56 (1-2), 193-223, 2018 | 70 | 2018 |
| Genetic algorithms and their applications M Gen, L Lin Springer handbook of engineering statistics, 635-674, 2023 | 69 | 2023 |
| Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design M Gen, L Lin, YS Yun, H Inoue Computers & Industrial Engineering 125, 394-412, 2018 | 57 | 2018 |
| Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem X Hao, M Gen, L Lin, GA Suer Journal of intelligent Manufacturing 28, 833-845, 2017 | 56 | 2017 |
| Network modeling and evolutionary optimization for scheduling in manufacturing L Lin, XC Hao, M Gen, JB Jo Journal of Intelligent Manufacturing 23, 2237-2253, 2012 | 46 | 2012 |
| Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction Y Yuan, S Ye, L Lin, M Gen Computers & Industrial Engineering 158, 107316, 2021 | 45 | 2021 |
| Priority-based genetic algorithm for shortest path routing problem in OSPF L Lin, M Gen Intelligent and Evolutionary Systems, 91-103, 2009 | 44 | 2009 |
| Large scale flexible scheduling optimization by a distributed evolutionary algorithm L Sun, L Lin, H Li, M Gen Computers & Industrial Engineering 128, 894-904, 2019 | 43 | 2019 |
Mitsuo GenFuzzy Logic Systens Institute & Tokyo University of ScienceVerified email at flsi.or.jp
