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EVOLUTIONARY ALGORITHMS FOR SOLVING

MULTI-OBJECTIVE PROBLEMS


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    Sinopse

    Solving multi-objective problems is an evolving effort. Computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.

    Detalhes do Produto

      • Edição:  1
      • Ano:  2007
      • País de Produção: United States
      • Código de Barras:  9780387332543
      • ISBN:  0387332545
      • Encadernação:  CAPA DURA
      • Complemento:  NENHUM

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