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Mitsunori Miki: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
    Multi-objective RectangularPacking Problem and Its Applications. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:565-577 [Conf]
  2. Kenji Kobayashi, Tomoyuki Hiroyasu, Mitsunori Miki
    Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:216-226 [Conf]
  3. Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama, Yoshiko Hanada
    Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:2195-2196 [Conf]
  4. Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hisashi Shimosaka, Shigeyoshi Tsutsui, Jack Dongarra
    Distributed Probabilistic Model-Building Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1015-1028 [Conf]
  5. Mitsunori Miki, Tomoyuki Hiroyasu, Mika Kaneko
    A Parallel Genetic Algorithm with Distributed Environment Scheme. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:376- [Conf]
  6. Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
    LCGA: Local Cultivation Genetic Algorithm For Multi-objective Optimization Problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:702- [Conf]
  7. Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
    NCGA: Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:458-465 [Conf]
  8. Tomoyuki Hiroyasu, Mitsunori Miki, Masahiro Hamasaki, Yusuke Tanimura
    A New Model of Parallel Distributed Genetic Algorithms for Cluster Systems: Dual Individual DGAs. [Citation Graph (0, 0)][DBLP]
    ISHPC, 2000, pp:374-383 [Conf]
  9. Mitsunori Miki, Tomoyuki Hiroyasu, Taiju Ikeda
    Parallel Distributed Optimization by Resource Addition and Reduction. [Citation Graph (0, 0)][DBLP]
    ISHPC, 1999, pp:194-205 [Conf]
  10. Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki, Yuko Okamoto
    Mega Process Genetic Algorithm Using Grid MP. [Citation Graph (0, 0)][DBLP]
    LSGRID, 2004, pp:152-170 [Conf]
  11. J. Uekawa, Tomoyuki Hiroyasu, Mitsunori Miki, Yusuke Tanimura
    A Dynamic Hierarchical System for Large Scale Distributed Applications. [Citation Graph (0, 0)][DBLP]
    IASTED PDCS, 2002, pp:417-422 [Conf]
  12. Yusuke Tanimura, Tomoyuki Hiroyasu, Mitsunori Miki, K. Aoi
    The System for Evolutionary Computing on the Computational Grid. [Citation Graph (0, 0)][DBLP]
    IASTED PDCS, 2002, pp:39-44 [Conf]
  13. Mika Kaneko, Mitsunori Miki, Tomoyuki Hiroyasu
    A Parallel Genetic Algorithm with Distributed Environment Scheme. [Citation Graph (0, 0)][DBLP]
    PDPTA, 2000, pp:- [Conf]
  14. Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
    Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems. [Citation Graph (0, 0)][DBLP]
    PDPTA, 2000, pp:- [Conf]
  15. Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe
    SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:742-751 [Conf]
  16. Hisashi Shimosaka, Tomoyuki Hiroyasu, Mitsunori Miki
    Offspring Generation Method Using Delaunay Triangulation for Real-Coded Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:828-838 [Conf]
  17. Ikki Ohmukai, Hideaki Takeda, Mitsunori Miki
    A Proposal of the Person-centered Approach for Personal Task Management. [Citation Graph (0, 0)][DBLP]
    SAINT, 2003, pp:234-241 [Conf]
  18. Mitsunori Miki, Masafumi Hashimoto, Yoshihisa Fujita, Tomoyuki Hiroyasu, Masaru Shibata
    Program search with simulated annealing. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1754- [Conf]
  19. Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki, Tomoharu Senda
    Multiobjective clustering with automatic k-determination for large-scale data. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:861-868 [Conf]
  20. Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
    Genetic multi-step search in interpolation and extrapolation domain. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1242-1249 [Conf]
  21. Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
    Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:904- [Conf]
  22. H. Kajiwara, Tomoyuki Hiroyasu, Mitsunori Miki, Akira Hashimoto
    Topology structural optimization using a hybrid of GA and ESO methods. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2006, pp:84-89 [Conf]
  23. Kengo Yoshii, Tomoyuki Hiroyasu, Mitsunori Miki, Akira Hashimoto
    Effectiveness of neighborhood crossover in multiobjective genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2006, pp:222-227 [Conf]
  24. Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
    An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1974-1981 [Conf]
  25. Tomoyuki Hiroyasu, Seiichi Nakayama, Mitsunori Miki
    Comparison study of SPEA2+, SPEA2, and NSGA-II in diesel engine emissions and fuel economy problem. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:236-242 [Conf]

  26. Application of MOGA Search Strategy to SVM Training Data Selection. [Citation Graph (, )][DBLP]


  27. Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome. [Citation Graph (, )][DBLP]


  28. Analysis of the performance of genetic multi-step search in interpolation and extrapolation domain. [Citation Graph (, )][DBLP]


  29. Distributed Control of Illuminance and Color Temperature in Intelligent Lighting System. [Citation Graph (, )][DBLP]


  30. Construction of Intelligent Lighting System Providing Desired Illuminance Distributions in Actual Office Environment. [Citation Graph (, )][DBLP]


  31. Classified-Chime Sound Generation Support System Using an Interactive Genetic Algorithm. [Citation Graph (, )][DBLP]


  32. Optimization of the Height of Height-Adjustable Luminaire for Intelligent Lighting System. [Citation Graph (, )][DBLP]


  33. Intelligent Lighting Control User Interface through Design of Illuminance Distribution. [Citation Graph (, )][DBLP]


  34. Efficient Scheduling Algorithms on Bandwidth Reservation Service of Internet Using Metaheuristics. [Citation Graph (, )][DBLP]


  35. Diversity Maintenance Mechanism for Multi-Objective Genetic Algorithms Using Clustering and Network Inversion. [Citation Graph (, )][DBLP]


  36. Discussion of Search Strategy for Multi-objective Genetic Algorithm with Consideration of Accuracy and Broadness of Pareto Optimal Solutions. [Citation Graph (, )][DBLP]


  37. Discussion of Offspring Generation Method for Interactive Genetic Algorithms with Consideration of Multimodal Preference. [Citation Graph (, )][DBLP]


  38. Distributed optimal control of lighting based on stochastic hill climbing method with variable neighborhood. [Citation Graph (, )][DBLP]


  39. An Evolutional Optimization Algorithm to Provide Individual Illuminance in Workplaces. [Citation Graph (, )][DBLP]


  40. Effectiveness of Avatars for Subjective Annotation. [Citation Graph (, )][DBLP]


  41. Feeling Expression Using Avatars and Its Consistency for Subjective Annotation. [Citation Graph (, )][DBLP]


  42. A Performance Evaluation of CUBE: One-Dimensional 512 FPGA Cluster. [Citation Graph (, )][DBLP]


  43. The effect of introducing a tag node in solving scheduling problems using histogram based sampling algorithms. [Citation Graph (, )][DBLP]


  44. Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing. [Citation Graph (, )][DBLP]


  45. Hybrid optimization using DIRECT, GA, and SQP for global exploration. [Citation Graph (, )][DBLP]


  46. Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems. [Citation Graph (, )][DBLP]


  47. Mesh dependency of stress-based crossover for structural topology optimization. [Citation Graph (, )][DBLP]


  48. Examination of multi-objective optimization method for global search using DIRECT and GA. [Citation Graph (, )][DBLP]


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