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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Stützle, Thomas (Editor), Birattari, Mauro (Editor), H. Hoos, Holger (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Lecture Notes in Computer Science, 4638
• Subjects: Computer science.; Data structures (Computer science).; Algorithms.; Mathematical statistics.; Data mining.; Information storage and retrieval.; Computer Science.; 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.

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...