Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualiz...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Pelta, David Alejandro (Editor ), Krasnogor, Natalio (Editor ), Dumitrescu, Dan (Editor ), Chira, Camelia (Editor ), Lung, Rodica (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 387
Temas:
Computational intelligence.
Artificial intelligence.
Statistics .
Computational Intelligence.
Artificial Intelligence.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • From the content: Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model
  • Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm
  • An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems
  • Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis
  • Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-Assembly Wang Tiles
  • Model Order Reduction of Single Input Single Output Systems using Artificial Bee Colony Optimization Algorithm
  • Lamps: A Test Problem for Cooperative Coevolution.

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