Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings / edited by Thomas Stützle, Mauro Birattari, Holger H. Hoos.

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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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Stützle, Thomas (Editor), Birattari, Mauro (Editor), Hoos, Holger H. (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:	1st ed. 2007.
Series:	Theoretical Computer Science and General Issues ; 4638 Springer eBook Collection.
Subjects:	Data structures (Computer science). Algorithms. Mathematical statistics. Data mining. Information storage and retrieval. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.