Search Results - Sánchez-Pérez, Juan Manuel

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  1. 1
    Swarm optimisation algorithms applied to large balanced communication networks

    Swarm optimisation algorithms applied to large balanced communication networks by Bernardino, Eugénia Moreira, Bernardino, Anabela Moreira, Sánchez-Pérez, Juan Manuel, Gómez Pulido, Juan Antonio, Vega Rodríguez, Miguel A.

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  2. 2
    AlineaGA—a genetic algorithm with local search optimization for multiple sequence alignment

    AlineaGA—a genetic algorithm with local search optimization for multiple sequence alignment by da Silva, Fernando José Mateus, Sánchez Pérez, Juan Manuel, Gómez Pulido, Juan Antonio, Vega Rodríguez, Miguel A.

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  3. 3
    Solving large-scale SONET network design problems using bee-inspired algorithms

    Solving large-scale SONET network design problems using bee-inspired algorithms by Bernardino, Eugénia Moreira, Bernardino, Anabela Moreira, Sánchez-Pérez, Juan Manuel, Gómez-Pulido, Juan Antonio, Vega-Rodríguez, Miguel Angel

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  4. 4
    Parallel Niche Pareto AlineaGA – an Evolutionary Multiobjective approach on Multiple Sequence Alignment

    Parallel Niche Pareto AlineaGA – an Evolutionary Multiobjective approach on Multiple Sequence Alignment by Silva, Fernando José Mateus da, Pérez, Juan Manuel Sánchez, Pulido, Juan Antonio Gómez, Rodríguez, Miguel A. Vega

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  5. 5
    An evolutionary approach for performing multiple sequence alignment

    An evolutionary approach for performing multiple sequence alignment by Silva, Fernando José Mateus, Sánchez-Pérez, Juan Manuel, Gómez-Pulido, Juan Antonio, Vega-Rodríguez, Miguel A

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  6. 6
    A Baptism of Fire»: Towards a Practical Hybrid Approach for the Lexicographic Indexation of Phraseological Units with Religious Lexical Components in English and Spanish

    A Baptism of Fire»: Towards a Practical Hybrid Approach for the Lexicographic Indexation of Phraseological Units with Religious Lexical Components in English and Spanish by Rojas Díaz, José Luis, Pérez Sánchez, Juan Manuel

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  7. 7
    Parallel Niche Pareto AlineaGA – an Evolutionary Multiobjective approach on Multiple Sequence Alignment

    Parallel Niche Pareto AlineaGA – an Evolutionary Multiobjective approach on Multiple Sequence Alignment by Silva, Fernando José Mateus da, Pérez, Juan Manuel Sánchez, Pulido, Juan Antonio Gómez, Rodríguez, Miguel A. Vega

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  8. 8
    Optimizing a realistic large-scale frequency assignment problem using a new parallel evolutionary approach

    Optimizing a realistic large-scale frequency assignment problem using a new parallel evolutionary approach by Chaves-González, José M., Vega-Rodríguez, Miguel A., Gómez-Pulido, Juan A., Sánchez-Pérez, Juan M.

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  9. 9
    Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators

    Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators by Bernardino, Eugénia M, Bernardino, A M, Sánchez-Pérez, Juan Manuel, Gómez-Pulido, Juan Antonio, Vega-Rodriguez, M A

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  10. 10
    Solving the weighted ring edge-loading problem without demand splitting using a Hybrid Differential Evolution Algorithm

    Solving the weighted ring edge-loading problem without demand splitting using a Hybrid Differential Evolution Algorithm by Bernardino, A.M., Bernardino, E.M., Sanchez-Perez, J.M., Gomez-Pulido, J.A., Vega-Rodriguez, M.A.

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  11. 11
    A Hybrid Scatter Search algorithm to assign terminals to concentrators

    A Hybrid Scatter Search algorithm to assign terminals to concentrators by Bernardino, E M, Bernardino, A M, Sanchez-Perez, J M, Gomez-Pulido, J A, Vega-Rodriguez, M A

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  12. 12
    ‘Beyond the Grave’: Equivalence of Specialized Phraseological Units Containing Dead Metaphors in an English-Spanish Dictionary of Commerce and Economics

    ‘Beyond the Grave’: Equivalence of Specialized Phraseological Units Containing Dead Metaphors in an English-Spanish Dictionary of Commerce and Economics by Pérez Sánchez, Juan Manuel, Rojas Díaz, José Luis

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  13. 13
    Parallel AlineaGA: An island parallel evolutionary algorithm for multiple sequence alignment

    Parallel AlineaGA: An island parallel evolutionary algorithm for multiple sequence alignment by da Silva, Fernando José Mateus, Pérez, Juan Manuel Sánchez, Pulido, Juan Antonio Gómez, Rodríguez, Miguel A Vega

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  14. 14
    Solving ring loading problems using bio-inspired algorithms

    Solving ring loading problems using bio-inspired algorithms by Bernardino, Anabela Moreira, Bernardino, Eugénia Moreira, Sanchez-Perez, Juan Manuel, Gomez-Pulido, Juan Antonio, Vega-Rodriguez, Miguel Angel

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  15. 15
    Optimizing Multiple Sequence Alignment by Improving Mutation Operators of a Genetic Algorithm

    Optimizing Multiple Sequence Alignment by Improving Mutation Operators of a Genetic Algorithm by da Silva, F.J.M., Sanchez Perez, J.M., Gomez Pulido, J.A., Rodriguez, M.A.V.

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  16. 16
    APRIS: Library and On-Line Tools to Drive Parallel Adaptive and Neural Heuristic to Improve System Identification Precision

    APRIS: Library and On-Line Tools to Drive Parallel Adaptive and Neural Heuristic to Improve System Identification Precision by Pulido, J.A.G., Rodriguez, M.A.V., Ferez, J.M.S., Simon, M.D.J., Criado, J.M.G.

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  17. 17
    A Hybrid Population-Based Incremental Learning algorithm for load balancing in RPR

    A Hybrid Population-Based Incremental Learning algorithm for load balancing in RPR by Bernardino, A M, Bernardino, Eugénia M, Sánchez-Pérez, J M, Gómez-Pulido, J A, Vega-Rodríguez, M A

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  18. 18
    An educational tool for testing caches on symmetric multiprocessors

    An educational tool for testing caches on symmetric multiprocessors by Vega Rodriguez, M A, Sanchez Perez |h J. M., Gomez Pulido |h J. A.

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  19. 19
    Case Studies in Tele-Education: Research and Projects

    Case Studies in Tele-Education: Research and Projects by Juan A. Gómez-Pulido, Juan Manuel Sánchez-Pérez, Miguel A. Vega-Rodríguez

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  20. 20
    Placement and routing of Boolean functions in constrained FPGAs using a distributed genetic algorithm and local search

    Placement and routing of Boolean functions in constrained FPGAs using a distributed genetic algorithm and local search by del Solar, Manuel Rubio, Pérez, Juan Manuel Sánchez, Pulido, Juan Antonio Gómez, Rodríguez, Miguel Ángel Vega

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