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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Stützle, Thomas (Επιμελητής έκδοσης), Birattari, Mauro (Επιμελητής έκδοσης), H. Hoos, Holger (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4638
• Θέματα: 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...