| * | 2009 |
|---|
| 45 | EE | Mitsuo Gen,
Lin Lin:
Evolutionary Techniques for Automation.
Handbook of Automation 2009: 487-502 |
| 44 | EE | Lin Lin,
Mitsuo Gen:
Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation.
Soft Comput. 13(2): 157-168 (2009) |
| 2008 |
|---|
| 43 | EE | Shinichiro Ataka,
Mitsuo Gen:
The study for transportation planning considered the inventory using hybrid genetic algorithm.
GECCO 2008: 1689-1690 |
| 42 | EE | Jeong-eun Lee,
Mitsuo Gen,
Kyong-gu Rhee:
Designing a multistage reverse logistics network problem by hybrid genetic algorithm.
GECCO 2008: 1707-1708 |
| 41 | EE | 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 |
| 40 | EE | Mitsuo Gen,
Lin Lin:
Genetic Algorithms.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 39 | EE | Reakook Hwang,
Mitsuo Gen,
Hiroshi Katayama:
A comparison of multiprocessor task scheduling algorithms with communication costs.
Computers & OR 35(3): 976-993 (2008) |
| 38 | EE | 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) |
| 37 | EE | 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 |
|---|
| 36 | EE | Shinichiro Ataka,
Mitsuo Gen:
Solving exclusionary side constrained logistics network by using priority-based GA.
IEEE Congress on Evolutionary Computation 2007: 4483-4488 |
| 35 | EE | 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 |
| 34 | EE | 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) |
| 33 | EE | 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 |
|---|
| 32 | EE | 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 |
| 31 | EE | Mitsuo Gen,
Lin Lin:
A new approach for shortest path routing problem by random key-based GA.
GECCO 2006: 1411-1412 |
| 30 | EE | Haipeng Zhang,
Mitsuo Gen:
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system.
GECCO 2006: 1841-1848 |
| 29 | EE | 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) |
| 28 | EE | Lin Lin,
Mitsuo Gen:
Node-Based Genetic Algorithm for Communication Spanning Tree Problem.
IEICE Transactions 89-B(4): 1091-1098 (2006) |
| 2005 |
|---|
| 27 | EE | 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 |
|---|
| 26 | EE | Minoru Mukuda,
YoungSu Yun,
Mitsuo Gen:
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms.
JACIII 8(4): 437-441 (2004) |
| 2003 |
|---|
| 25 | EE | 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 |
| 24 | EE | 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) |
| 23 | EE | Masato Sasaki,
Mitsuo Gen:
Fuzzy multiple objective optimal system design by hybrid genetic algorithm.
Appl. Soft Comput. 2(3): 189-196 (2003) |
| 22 | EE | Mitsuo Gen,
Runwei Cheng:
Evolutionary Network Design: Hybrid Genetic Algorithms Approach.
International Journal of Computational Intelligence and Applications 3(4): 357-380 (2003) |
| 2001 |
|---|
| 21 | EE | Tadahiko Murata,
Hisao Ishibuchi,
Mitsuo Gen:
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms.
EMO 2001: 82-95 |
| 20 | EE | Yasuhiro Tsujimura,
Yuichiro Mafune,
Mitsuo Gen:
Effects of Symbiotic Evolution in Genetic Algorithms for Job-Shop Scheduling.
HICSS 2001 |
| 2000 |
|---|
| 19 | | Tadahiko Murata,
Hisao Ishibuchi,
Mitsuo Gen:
Cellular Genetic Local Search for Multi-Objective Optimization.
GECCO 2000: 307-314 |
| 18 | | Mitsuo Gen,
Gengui Zhou:
A Genetic Algorithm for the Mini-Max Spanning Forest Problem.
GECCO 2000: 387 |
| 17 | EE | Chiung Moon,
Mitsuo Gen:
A Genetic Algorithm for Machines Sequencing Considering Operation Flexibility and AGV Guidepath.
JACIII 4(1): 88-94 (2000) |
| 1998 |
|---|
| 16 | | 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 |
| 15 | EE | T. Taguchi,
T. Yokota,
Mitsuo Gen:
GA-based method for fuzzy optimal design of system reliability with incomplete FDS.
KES (1) 1998: 272-277 |
| 14 | EE | Tadahiko Murata,
Hisao Ishibuchi,
Mitsuo Gen:
Neighborhood structures for genetic local search algorithms.
KES (2) 1998: 259-263 |
| 13 | EE | Yasuhiro Tsujimura,
S. Ko,
Mitsuo Gen:
Data distribution considered communication flow in network using genetic algorithm.
KES (2) 1998: 264-271 |
| 12 | EE | 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 |
| 11 | EE | Yasuhiro Tsujimura,
Mitsuo Gen:
Entropy-based genetic algorithm for solving TSP.
KES (2) 1998: 285-290 |
| 10 | EE | Yasuhiro Tsujimura,
Mitsuo Gen:
Evolutionary Recognition of Features from CAD Data.
SEAL 1998: 276-284 |
| 9 | EE | Mitsuo Gen,
Kenichi Ida,
Chang-Yun Lee:
Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem.
SEAL 1998: 421-429 |
| 8 | EE | Gengui Zhou,
Mitsuo Gen:
An effective genetic algorithm approach to the quadratic minimum spanning tree problem.
Computers & OR 25(3): 229-237 (1998) |
| 1997 |
|---|
| 7 | EE | 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 |
