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Parallel Problem Solving from Nature - PPSN IX : 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings / edited by Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley, Xin Yao.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 4193Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Descripción: xIx, 1061 páginas Also available online. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783540389910
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA75.5-76.95
Recursos en línea:
Contenidos:
Theory -- New Algorithms -- Applications -- Multi-objective Optimization -- Evolutionary Learning -- Representations, Operators, and Empirical Evaluation.
Resumen: This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006, held in Reykjavik, Iceland in September 2006. The 106 revised full papers presented were carefully reviewed and selected from 255 submissions. The papers cover a wide range of topics, from evolutionary computation to swarm intelligence and from bio-inspired computing to real-world applications; they are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.
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Theory -- New Algorithms -- Applications -- Multi-objective Optimization -- Evolutionary Learning -- Representations, Operators, and Empirical Evaluation.

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006, held in Reykjavik, Iceland in September 2006. The 106 revised full papers presented were carefully reviewed and selected from 255 submissions. The papers cover a wide range of topics, from evolutionary computation to swarm intelligence and from bio-inspired computing to real-world applications; they are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

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