img Leseprobe Leseprobe

Matheuristics

Hybridizing Metaheuristics and Mathematical Programming

Stefan Voß (Hrsg.), Vittorio Maniezzo (Hrsg.), Thomas Stützle (Hrsg.)

PDF
ca. 154,69
Amazon iTunes kobo Mayersche Osiander Google Books Barnes&Noble bol.com bol.com
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer US

Sozialwissenschaften, Recht, Wirtschaft / Allgemeines, Lexika

Beschreibung

Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.

Weitere Titel zum gleichen Preis
Cover Synthetic Worlds
Torsten Reiners
Schlagwörter

algorithms, mathematical optimization, metaheuristic, nonlinear optimization, Sage, optimization, genetic algorithms, mathematical programming, calculus, linear optimization, mixed integer programming, metaheuristics, programming