Evolutionary Computation in Combinatorial Optimization [recurso electrónico] : 11th European Conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011. Proceedings / edited by Peter Merz, Jin-Kao Hao.

Por: Merz, Peter [editor.]Colaborador(es): Hao, Jin-Kao [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6622Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XIV, 263 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642203640Tema(s): Computer science | Computer software | Computational complexity | Optical pattern recognition | Computer Science | Algorithm Analysis and Problem Complexity | Computation by Abstract Devices | Pattern Recognition | Discrete Mathematics in Computer Science | Probability and Statistics in Computer ScienceFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.1 Clasificación LoC:QA76.9.A43Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.
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Colección de Libros Electrónicos QA76.9 .A43 (Browse shelf(Abre debajo)) 1 No para préstamo 376068-2001

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.

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