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Mauricio Solar: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mauricio Solar, Mario Inostroza
    An Automatic Scheduler for Parallel Machines (Research Note). [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2002, pp:212-216 [Conf]
  2. Mauricio Solar, Mario Inostroza
    A Scheduling Algorithm to Optimize Real-World Applications. [Citation Graph (0, 0)][DBLP]
    ICDCS Workshops, 2004, pp:858-862 [Conf]
  3. Pedro Pinacho, Mauricio Solar, Mario Inostroza, Rosa Muñoz
    Using Genetic Algorithms and Tabu Search Parallel Models to Solve the Scheduling Problem. [Citation Graph (0, 0)][DBLP]
    AIAI, 2004, pp:343-358 [Conf]
  4. Irene Zuccar, Mauricio Solar, Fernanda Kri, Víctor Parada
    A Shared-Memory Multiprocessor Scheduling Algorithm. [Citation Graph (0, 0)][DBLP]
    IFIP PPAI, 2006, pp:313-321 [Conf]
  5. Víctor Parada, Mauricio Sepúlveda, Mauricio Solar, Arlindo Gómes
    Solution for the constrained guillotine cutting problem by simulated annealing. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 1998, v:25, n:1, pp:37-47 [Journal]
  6. Mauricio Solar, Víctor Parada, Rodrigo Urrutia
    A parallel genetic algorithm to solve the set-covering problem. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2002, v:29, n:9, pp:1221-1235 [Journal]
  7. Mauricio Solar, Mario Inostroza
    A parallel compiler scheduler. [Citation Graph (0, 0)][DBLP]
    SCCC, 2001, pp:256-263 [Conf]

  8. Capability Maturity Framework for eGovernment: A Multi-dimensional Model and Assessing Tool. [Citation Graph (, )][DBLP]


  9. Identifying Weaknesses for Chilean E-Government Implementation in Public Agencies with Maturity Model. [Citation Graph (, )][DBLP]


  10. Automatic Generation of Roadmap for E-Government Implementation. [Citation Graph (, )][DBLP]


  11. Neural Recognition of Minerals. [Citation Graph (, )][DBLP]


  12. A Scheduling Algorithm to Optimize Parallel Processes. [Citation Graph (, )][DBLP]


  13. Combining a Probabilistic Sampling Technique and Simple Heuristics to Solve the Dynamic Path Planning Problem. [Citation Graph (, )][DBLP]


  14. Combining a Probabilistic Sampling Technique and Simple Heuristics to solve the Dynamic Path Planning Problem [Citation Graph (, )][DBLP]


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