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The design of innovation

por Goldberg, David E.
Series: Genetic Algorithms and Evolutionary Computation 1568-2587 . 7 Publicado por : Springer - science (Boston (Massachusetts, Estados Unidos)) Detalles físicos: xi, 248 Páginas gráficos, diagramas ISBN:9781475736434. Año : 2002
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Tipo de ítem Ubicación actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras Reserva de ítems
Libro Libro Sede del Emprendimiento, Innovación y Creación
1er piso
Libro 004.0151 G618de (Navegar estantería) Ej.1 Disponible 100148735
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Incluye referencias bibliográficas e índices

1 Genetic Algorithms and Innovation -- 2 Making Genetic Algorithms Fly -- 3 Three Tools of Conceptual Engineering -- 4 Goals and Elements of GA Design -- 5 Building Blocks -- 6 A Design Approach to Problem Difficulty -- 7 Ensuring Building Block Supply -- 8 Ensuring Building Block Growth -- 9 Making Time for Building Blocks -- 10 Deciding Well -- 11 Mixing, Control Maps, and GA Success -- 12 Design of Competent Genetic Algorithms -- Epilogue: From Competence to Efficiency and Beyond -- References.

The Design of Innovation illustrates how to design and implement competent genetic algorithms-genetic algorithms that solve hard problems quickly, reliably, and accurately-and how the invention of competent genetic algorithms amounts to the creation of an effective computational theory of human innovation. For the specialist in genetic algorithms and evolutionary computation, this book combines over two decades of hard-won research results in a single volume to provide a comprehensive step-by-step guide to designing genetic algorithms that scale well with problem size and difficulty. For the innovation researcher - whether from the social and behavioral sciences, the natural sciences, the humanities, or the arts - this unique book gives a consistent and valuable mathematical and computational viewpoint for understanding certain aspects of human innovation. For all readers, The Design of Innovation provides an entrée into the world of competent genetic algorithms and innovation through a methodology of invention borrowed from the Wright brothers. Combining careful decomposition, cost-effective, little analytical models, and careful design, the road to competence is paved with easily understood examples, simulations, and results from the literature.

Texto en ingles