Agent-Based Optimization

This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited s...

Descripción completa

Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Czarnowski, Ireneusz (-), Jędrzejowicz, Piotr, Kacprzyk, Janusz
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Colección:Studies in Computational Intelligence ; 456.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b33047169*spi
Descripción
Sumario:This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve  difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.
Descripción Física:X, 206 p.
Formato:Forma de acceso: World Wide Web.
ISBN:9783642340970