![]() | ![]() |
| 2012 | ||
|---|---|---|
| 63 | Ali Serdar Tasan, Mitsuo Gen: A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries. Computers & Industrial Engineering 62(3): 755-761 (2012) | |
| 2009 | ||
| 62 | Mitsuo Gen, Lin Lin: Evolutionary Techniques for Automation. Handbook of Automation 2009: 487-502 | |
| 61 | Fulya Altiparmak, Mitsuo Gen, Lin Lin, Ismail Karaoglan: A steady-state genetic algorithm for multi-product supply chain network design. Computers & Industrial Engineering 56(2): 521-537 (2009) | |
| 60 | Jie Gao, Linyan Sun, Lihua Wang, Mitsuo Gen: An efficient approach for type II robotic assembly line balancing problems. Computers & Industrial Engineering 56(3): 1065-1080 (2009) | |
| 59 | Lin Lin, YongSu Seo, Mitsuo Gen, Runwei Cheng: Unusual human behavior recognition using evolutionary technique. Computers & Industrial Engineering 56(3): 1137-1153 (2009) | |
| 58 | Mitsuo Gen, Chen-Fu Chien: Foreword. Computers & Industrial Engineering 56(3): 777-778 (2009) | |
| 57 | Mitsuo Gen, Lin Lin, Haipeng Zhang: Evolutionary techniques for optimization problems in integrated manufacturing system: State-of-the-art-survey. Computers & Industrial Engineering 56(3): 779-808 (2009) | |
| 56 | Lin Lin, Mitsuo Gen, Xiaoguang Wang: Integrated multistage logistics network design by using hybrid evolutionary algorithm. Computers & Industrial Engineering 56(3): 854-873 (2009) | |
| 55 | Jiuping Xu, Yanan He, Mitsuo Gen: A class of random fuzzy programming and its application to supply chain design. Computers & Industrial Engineering 56(3): 937-950 (2009) | |
| 54 | Jeong-eun Lee, Mitsuo Gen, Kyong-gu Rhee: Network model and optimization of reverse logistics by hybrid genetic algorithm. Computers & Industrial Engineering 56(3): 951-964 (2009) | |
| 53 | Feng Wen, Mitsuo Gen: A Multistage Method for Multiobjective Route Selection. IEICE Transactions 92-A(10): 2618-2625 (2009) | |
| 52 | Feng Wen, Mitsuo Gen, Xinjie Yu: Multilayer Traffic Network Optimized by Multiobjective Genetic Clustering Algorithm. IEICE Transactions 92-A(8): 2107-2115 (2009) | |
| 51 | Jie Gao, Mitsuo Gen, Linyan Sun: Modelling and scheduling preventative maintenance in semiconductor manufacturing industry with MAs. IJMTM 16(1/2): 101-126 (2009) | |
| 50 | Azuma Okamoto, Mitsuo Gen, Mitsumasa Sugawara: Integrated scheduling using genetic algorithm with quasi-random sequences. IJMTM 16(1/2): 147-165 (2009) | |
| 49 | Haipeng Zhang, Mitsuo Gen: A parallel hybrid ant colony optimisation approach for job-shop scheduling problem. IJMTM 16(1/2): 22-41 (2009) | |
| 48 | Lin Lin, Mitsuo Gen: A random key-based genetic algorithm for AGV dispatching in FMS. IJMTM 16(1/2): 58-75 (2009) | |
| 47 | Lin Lin, Mitsuo Gen: Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation. Soft Comput. 13(2): 157-168 (2009) | |
| 2008 | ||
| 46 | Shinichiro Ataka, Mitsuo Gen: The study for transportation planning considered the inventory using hybrid genetic algorithm. GECCO 2008: 1689-1690 | |
| 45 | Jeong-eun Lee, Mitsuo Gen, Kyong-gu Rhee: Designing a multistage reverse logistics network problem by hybrid genetic algorithm. GECCO 2008: 1707-1708 | |
| 44 | Feng Wen, Xiaohao Gao, Mitsuo Gen: A novel approach to route selection in car navigation systems by a multiobjective genetic algorithm. GECCO 2008: 767-768 | |
| 43 | Mitsuo Gen, Lin Lin: Genetic Algorithms. Wiley Encyclopedia of Computer Science and Engineering 2008 | |
| 42 | Reakook Hwang, Mitsuo Gen, Hiroshi Katayama: A comparison of multiprocessor task scheduling algorithms with communication costs. Computers & OR 35(3): 976-993 (2008) | |
| 41 | Jie Gao, Linyan Sun, Mitsuo Gen: A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems. Computers & OR 35(9): 2892-2907 (2008) | |
| 40 | Chi-Ming Lin, Mitsuo Gen: Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Syst. Appl. 34(4): 2480-2490 (2008) | |
| 2007 | ||
| 39 | Shinichiro Ataka, Mitsuo Gen: Solving exclusionary side constrained logistics network by using priority-based GA. IEEE Congress on Evolutionary Computation 2007: 4483-4488 | |
| 38 | Lin Lin, Mitsuo Gen: A bicriteria shortest path routing problems by hybrid genetic algorithm in communication networks. IEEE Congress on Evolutionary Computation 2007: 4577-4582 | |
| 37 | Chi-Ming Lin, Mitsuo Gen: Multiobjective resource allocation problem by multistage decision-based hybrid genetic algorithm. Applied Mathematics and Computation 187(2): 574-583 (2007) | |
| 36 | Myungryun Yoo, Mitsuo Gen: Scheduling algorithm for real-time tasks using multiobjective hybrid genetic algorithm in heterogeneous multiprocessors system. Computers & OR 34(10): 3084-3098 (2007) | |
| 2006 | ||
| 35 | Jie Gao, Mitsuo Gen, Linyan Sun: A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problemA hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem. GECCO 2006: 1157-1164 | |
| 34 | Mitsuo Gen, Lin Lin: A new approach for shortest path routing problem by random key-based GA. GECCO 2006: 1411-1412 | |
| 33 | Haipeng Zhang, Mitsuo Gen: Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system. GECCO 2006: 1841-1848 | |
| 32 | Chi-Ming Lin, Jih-Jeng Huang, Mitsuo Gen, Gwo-Hshiung Tzeng: Recurrent neural network for dynamic portfolio selection. Applied Mathematics and Computation 175(2): 1139-1146 (2006) | |
| 31 | Lin Lin, Mitsuo Gen: Node-Based Genetic Algorithm for Communication Spanning Tree Problem. IEICE Transactions 89-B(4): 1091-1098 (2006) | |
| 30 | Jun Li, Jiuping Xu, Mitsuo Gen: A class of multiobjective linear programming model with fuzzy random coefficients. Mathematical and Computer Modelling 44(11-12): 1097-1113 (2006) | |
| 2005 | ||
| 29 | Kwan Woo Kim, YoungSu Yun, JungMo Yoon, Mitsuo Gen, Genji Yamazaki: Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling. Computers in Industry 56(2): 143-160 (2005) | |
| 2004 | ||
| 28 | Minoru Mukuda, YoungSu Yun, Mitsuo Gen: Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms. JACIII 8(4): 437-441 (2004) | |
| 2003 | ||
| 27 | Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen: Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. EMO 2003: 593-607 | |
| 26 | Kwan Woo Kim, Mitsuo Gen, Genji Yamazaki: Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling. Appl. Soft Comput. 2(3): 174-188 (2003) | |
| 25 | Masato Sasaki, Mitsuo Gen: Fuzzy multiple objective optimal system design by hybrid genetic algorithm. Appl. Soft Comput. 2(3): 189-196 (2003) | |
| 24 | Mitsuo Gen, Runwei Cheng: Evolutionary Network Design: Hybrid Genetic Algorithms Approach. International Journal of Computational Intelligence and Applications 3(4): 357-380 (2003) | |
| 2001 | ||
| 23 | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95 | |
| 22 | Yasuhiro Tsujimura, Yuichiro Mafune, Mitsuo Gen: Effects of Symbiotic Evolution in Genetic Algorithms for Job-Shop Scheduling. HICSS 2001 | |
| 2000 | ||
| 21 | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314 | |
| 20 | Mitsuo Gen, Gengui Zhou: A Genetic Algorithm for the Mini-Max Spanning Forest Problem. GECCO 2000: 387 | |
| 19 | Chiung Moon, Mitsuo Gen: A Genetic Algorithm for Machines Sequencing Considering Operation Flexibility and AGV Guidepath. JACIII 4(1): 88-94 (2000) | |
| 1999 | ||
| 18 | Gengui Zhou, Mitsuo Gen: Genetic algorithm approach on multi-criteria minimum spanning tree problem. European Journal of Operational Research 114(1): 141-152 (1999) | |
| 1998 | ||
| 17 | Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen: Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming 1998: 407-416 | |
| 16 | T. Taguchi, T. Yokota, Mitsuo Gen: GA-based method for fuzzy optimal design of system reliability with incomplete FDS. KES (1) 1998: 272-277 | |
| 15 | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263 | |
| 14 | Yasuhiro Tsujimura, S. Ko, Mitsuo Gen: Data distribution considered communication flow in network using genetic algorithm. KES (2) 1998: 264-271 | |
| 13 | Mitsuo Gen, Kenichi Ida, R. Kobuchi, Chang-Yun Lee: Hybridized neural network and genetic algorithms for solving nonlinear integer programming. KES (2) 1998: 272-277 | |
| 12 | Yasuhiro Tsujimura, Mitsuo Gen: Entropy-based genetic algorithm for solving TSP. KES (2) 1998: 285-290 | |
| 11 | Yasuhiro Tsujimura, Mitsuo Gen: Evolutionary Recognition of Features from CAD Data. SEAL 1998: 276-284 | |
| 10 | Mitsuo Gen, Kenichi Ida, Chang-Yun Lee: Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem. SEAL 1998: 421-429 | |
| 9 | Gengui Zhou, Mitsuo Gen: An effective genetic algorithm approach to the quadratic minimum spanning tree problem. Computers & OR 25(3): 229-237 (1998) | |
| 8 | Runwei Cheng, Mitsuo Gen: An evolution programme for the resource-constrained project scheduling problem. Int. J. Computer Integrated Manufacturing 11(3): 274-287 (1998) | |
| 1997 | ||
| 7 | Gengui Zhou, Mitsuo Gen: A note on genetic algorithms for degree-constrained spanning tree problems. Networks 30(2): 91-95 (1997) | |
| 1996 | ||
| 6 | Dijin Gong, Genji Yamazaki, Mitsuo Gen: Evolutionary Program for Optimal Design of Material Distribution System. International Conference on Evolutionary Computation 1996: 139-143 | |
| 5 | Yinzhen Li, Mitsuo Gen, Kenichi Ida: Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. International Conference on Evolutionary Computation 1996: 596-601 | |
| 4 | Linhu Zhao, Yasuhiro Tsujimura, Mitsuo Gen: Genetic Algorithm for Fuzzy Clustering. International Conference on Evolutionary Computation 1996: 716-719 | |
| 3 | Mitsuo Gen, Runwei Cheng: A Survey of Penalty Techniques in Genetic Algorithms. International Conference on Evolutionary Computation 1996: 804-809 | |
| 2 | Yasuhiro Tsujimura, Mitsuo Gen: Genetic Algorithms for Solving Multiprocessor Scheduling Problems. SEAL 1996: 106-115 | |
| 1994 | ||
| 1 | Runwei Cheng, Mitsuo Gen: Evolution Program for Resource Constrained Project Scheduling Problem. International Conference on Evolutionary Computation 1994: 736-741 | |
Colors in the list of coauthors
Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page