Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4030)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
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Conference proceedings info: HM 2006.
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About this book
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.
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Table of contents (14 papers)
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Front Matter
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Back Matter
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Hybrid Metaheuristics
Editors and Affiliations
Bibliographic Information
Book Title: Hybrid Metaheuristics
Book Subtitle: Third International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings
Editors: Francisco Almeida, María J. Blesa Aguilera, Christian Blum, José Marcos Moreno Vega, Melquíades Pérez Pérez, Andrea Roli, Michael Sampels
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11890584
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-46384-9Published: 29 September 2006
eBook ISBN: 978-3-540-46385-6Published: 04 October 2006
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 193
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Numeric Computing, Pattern Recognition