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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings /

Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. To a large degree, this popularity is based on the conceptua...

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Corporate Author: SpringerLink (Online service)
Other Authors: Stützle, Thomas. (Editor, http://id.loc.gov/vocabulary/relators/edt), Birattari, Mauro. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hoos, Holger H. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Theoretical Computer Science and General Issues ; 4638
Subjects:
Data structures (Computer science).
Algorithms.
Mathematical statistics.
Data mining.
Information storage and retrieval.
Data Structures.
Data Storage Representation.
Algorithm Analysis and Problem Complexity.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Online Access:https://doi.org/10.1007/978-3-540-74446-7

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https://doi.org/10.1007/978-3-540-74446-7

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