Hybrid Metaheuristics Third International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings /

The International Workshop on Hybrid Metaheuristics reached its third edition with HM 2006. The active and successful participation in the past editions was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Almeida, Francisco (Editor ), Blesa Aguilera, María J. (Editor ), Blum, Christian (Editor ), Moreno Vega, José Marcos (Editor ), Pérez, Melquíades (Editor ), Roli, Andrea (Editor ), Sampels, MIchael (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Theoretical Computer Science and General Issues, 4030
Temas:
Artificial intelligence.
Algorithms.
Computer science.
Numerical analysis.
Pattern recognition systems.
Artificial Intelligence.
Theory of Computation.
Numerical Analysis.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Descripción
Sumario:The International Workshop on Hybrid Metaheuristics reached its third edition with HM 2006. The active and successful participation in the past editions was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybridization of metaheuristics. The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a "general strategy controlling a subordinate heuristic. " The awareness of the need for a sound experimental methodology is a third keypoint.
Descripción Física:X, 193 p. online resource.
ISBN:9783540463856
ISSN:2512-2029 ;

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