New book _ Heuristics - Theory and Applications _ by P. Siarry (Ed)
Forum 'Annonces' - Sujet créé le 2013-04-03
Heuristics - Theory and Applications
Patrick Siarry (Ed)
NOVA Publishers
ISBN 978-1-62417-637-1. April 2013.
394 pp. Hardcover.
Recommended Retail Price: 175.50 $.
https://www.novapublishers.com/catalog/product_info.php?products_id=38808&osCsid=7df05b8e065eb6af8e8 b86c7f7a5e3cc
Many advances have recently been made in metaheuristic methods, from theory to applications.
The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined.
This book discusses theoretical developments in metaheuristics, cooperative methods combining different approaches, parallel and distributed metaheuristics for multiobjective optimization, and real-world applications.
Written for:
Engineers, researchers and graduate students in computer science and fields related to operations research and applied mathematics.
Keywords:
Computational intelligence - metaheuristics - evolutionary algorithms - optimization.
Patrick Siarry (Ed)
NOVA Publishers
ISBN 978-1-62417-637-1. April 2013.
394 pp. Hardcover.
Recommended Retail Price: 175.50 $.
https://www.novapublishers.com/catalog/product_info.php?products_id=38808&osCsid=7df05b8e065eb6af8e8 b86c7f7a5e3cc
Many advances have recently been made in metaheuristic methods, from theory to applications.
The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined.
This book discusses theoretical developments in metaheuristics, cooperative methods combining different approaches, parallel and distributed metaheuristics for multiobjective optimization, and real-world applications.
Written for:
Engineers, researchers and graduate students in computer science and fields related to operations research and applied mathematics.
Keywords:
Computational intelligence - metaheuristics - evolutionary algorithms - optimization.