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Masaharu Munetomo: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    Population Sizing of Dependency Detection by Fitness Difference Classification. [Citation Graph (0, 0)][DBLP]
    FOGA, 2005, pp:282-299 [Conf]
  2. Yuichi Yamamoto, Kiyoshi Akama, Masaharu Munetomo, Takahiko Ishikawa
    A Foundation for Algorithm Generation by Transforming Meta-Descriptions. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:712-0 [Conf]
  3. Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
    A Parallel Genetic Algorithm Based on Linkage Identification. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1222-1233 [Conf]
  4. Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama
    Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:222-233 [Conf]
  5. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1616-1617 [Conf]
  6. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    Modeling Dependencies of Loci with String Classification According to Fitness Differences. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:246-257 [Conf]
  7. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    A crossover for complex building blocks overlapping. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1337-1344 [Conf]
  8. Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
    A Genetic Approach to Dynamic Load Balancing in a Distributed Computing System. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:419-421 [Conf]
  9. Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
    An Efficient Migration Scheme for Subpopulation-Based Asynchronously Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:649- [Conf]
  10. Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
    An Adaptive Network Routing Algorithm Employing Path Genetic Operators. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:643-649 [Conf]
  11. Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
    Empirical Investigations on Parallelized Linkage Identification. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:322-331 [Conf]
  12. Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
    Genetic-Based Dynamic Load Balancing: Implementation and Evaluation. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:920-929 [Conf]
  13. Masaharu Munetomo, David E. Goldberg
    Linkage Identification by Non-monotonicity Detection for Overlapping Functions. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:4, pp:377-398 [Journal]
  14. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    Linkage Identification by Fitness Difference Clustering. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:4, pp:383-409 [Journal]
  15. Hidehiro Kobayashi, Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato
    Designing a distributed algorithm for bandwidth allocation with a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:3, pp:37-45 [Journal]
  16. Masaharu Munetomo, Asim Munawar, Kiyoshi Akama
    A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:473-480 [Conf]
  17. Masaharu Munetomo, Yuta Satake, Kiyoshi Akama
    An Intelligent Scatter with Estimation of Distribution for Tabu Search. [Citation Graph (0, 0)][DBLP]
    EUROCAST, 2007, pp:465-472 [Conf]
  18. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
    Linkage identification for real-valued loci by fitness difference classification. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1317-1324 [Conf]
  19. Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
    Empirical studies on parallel network construction of Bayesian optimization algorithms. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1524-1531 [Conf]

  20. A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. [Citation Graph (, )][DBLP]


  21. Empirical investigations on parallel competent genetic algorithms. [Citation Graph (, )][DBLP]


  22. SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. [Citation Graph (, )][DBLP]


  23. Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. [Citation Graph (, )][DBLP]


  24. A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. [Citation Graph (, )][DBLP]


  25. Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. [Citation Graph (, )][DBLP]


  26. MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. [Citation Graph (, )][DBLP]


  27. Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. [Citation Graph (, )][DBLP]


  28. A network design problem by a GA with linkage identification and recombination for overlapping building blocks. [Citation Graph (, )][DBLP]


  29. Optimization problem solving framework employing GAs with linkage identification over a grid environment. [Citation Graph (, )][DBLP]


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