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Mitsuo Gen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
    Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:82-95 [Conf]
  2. Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen
    Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:593-607 [Conf]
  3. Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen
    Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:407-416 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1157-1164 [Conf]
  5. Mitsuo Gen, Lin Lin
    A new approach for shortest path routing problem by random key-based GA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1411-1412 [Conf]
  6. Mitsuo Gen, Gengui Zhou
    A Genetic Algorithm for the Mini-Max Spanning Forest Problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:387- [Conf]
  7. Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
    Cellular Genetic Local Search for Multi-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:307-314 [Conf]
  8. Haipeng Zhang, Mitsuo Gen
    Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1841-1848 [Conf]
  9. Yasuhiro Tsujimura, Yuichiro Mafune, Mitsuo Gen
    Effects of Symbiotic Evolution in Genetic Algorithms for Job-Shop Scheduling. [Citation Graph (0, 0)][DBLP]
    HICSS, 2001, pp:- [Conf]
  10. Dijin Gong, Genji Yamazaki, Mitsuo Gen
    Evolutionary Program for Optimal Design of Material Distribution System. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:139-143 [Conf]
  11. Runwei Cheng, Mitsuo Gen
    Evolution Program for Resource Constrained Project Scheduling Problem. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:736-741 [Conf]
  12. Mitsuo Gen, Runwei Cheng
    A Survey of Penalty Techniques in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:804-809 [Conf]
  13. Yinzhen Li, Mitsuo Gen, Kenichi Ida
    Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:596-601 [Conf]
  14. Linhu Zhao, Yasuhiro Tsujimura, Mitsuo Gen
    Genetic Algorithm for Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:716-719 [Conf]
  15. Mitsuo Gen, Kenichi Ida, Chang-Yun Lee
    Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:421-429 [Conf]
  16. Yasuhiro Tsujimura, Mitsuo Gen
    Genetic Algorithms for Solving Multiprocessor Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    SEAL, 1996, pp:106-115 [Conf]
  17. Yasuhiro Tsujimura, Mitsuo Gen
    Evolutionary Recognition of Features from CAD Data. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:276-284 [Conf]
  18. Kwan Woo Kim, Mitsuo Gen, Genji Yamazaki
    Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:2, n:3, pp:174-188 [Journal]
  19. Masato Sasaki, Mitsuo Gen
    Fuzzy multiple objective optimal system design by hybrid genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:2, n:3, pp:189-196 [Journal]
  20. Gengui Zhou, Mitsuo Gen
    An effective genetic algorithm approach to the quadratic minimum spanning tree problem. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 1998, v:25, n:3, pp:229-237 [Journal]
  21. Mitsuo Gen, Runwei Cheng
    Evolutionary Network Design: Hybrid Genetic Algorithms Approach. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2003, v:3, n:4, pp:357-380 [Journal]
  22. Chiung Moon, Mitsuo Gen
    A Genetic Algorithm for Machines Sequencing Considering Operation Flexibility and AGV Guidepath. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:1, pp:88-94 [Journal]
  23. Minoru Mukuda, YoungSu Yun, Mitsuo Gen
    Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    JACIII, 2004, v:8, n:4, pp:437-441 [Journal]
  24. Gengui Zhou, Mitsuo Gen
    A note on genetic algorithms for degree-constrained spanning tree problems. [Citation Graph (0, 0)][DBLP]
    Networks, 1997, v:30, n:2, pp:91-95 [Journal]
  25. Chi-Ming Lin, Jih-Jeng Huang, Mitsuo Gen, Gwo-Hshiung Tzeng
    Recurrent neural network for dynamic portfolio selection. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2006, v:175, n:2, pp:1139-1146 [Journal]

  26. A novel approach to route selection in car navigation systems by a multiobjective genetic algorithm. [Citation Graph (, )][DBLP]


  27. The study for transportation planning considered the inventory using hybrid genetic algorithm. [Citation Graph (, )][DBLP]


  28. Designing a multistage reverse logistics network problem by hybrid genetic algorithm. [Citation Graph (, )][DBLP]


  29. Neighborhood structures for genetic local search algorithms. [Citation Graph (, )][DBLP]


  30. Hybridized neural network and genetic algorithms for solving nonlinear integer programming. [Citation Graph (, )][DBLP]


  31. GA-based method for fuzzy optimal design of system reliability with incomplete FDS. [Citation Graph (, )][DBLP]


  32. Data distribution considered communication flow in network using genetic algorithm. [Citation Graph (, )][DBLP]


  33. Entropy-based genetic algorithm for solving TSP. [Citation Graph (, )][DBLP]


  34. A bicriteria shortest path routing problems by hybrid genetic algorithm in communication networks. [Citation Graph (, )][DBLP]


  35. Solving exclusionary side constrained logistics network by using priority-based GA. [Citation Graph (, )][DBLP]


  36. Scheduling algorithm for real-time tasks using multiobjective hybrid genetic algorithm in heterogeneous multiprocessors system. [Citation Graph (, )][DBLP]


  37. A comparison of multiprocessor task scheduling algorithms with communication costs. [Citation Graph (, )][DBLP]


  38. A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems. [Citation Graph (, )][DBLP]


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