Matheuristics : Hybridizing Metaheuristics and Mathematical Programming

Author: Vittorio Maniezzo
Published Date: 01 Oct 2009
Publisher: Springer-Verlag New York Inc.
Original Languages: English
Book Format: Paperback::270 pages
ISBN10: 144191305X
ISBN13: 9781441913050
Publication City/Country: New York, NY, United States
File size: 10 Mb
Dimension: 155x 235x 15.24mm::900g
Download Link: Matheuristics : Hybridizing Metaheuristics and Mathematical Programming

Download PDF, EPUB, Kindle Matheuristics : Hybridizing Metaheuristics and Mathematical Programming. Combining metaheuristics with mathematical programming, constraint programming and machine learning Combining metaheuristics with mathematical programming, constraint programming and machine learning Talbi, El-Ghazali 2013-07-17 00:00:00 During the last years, interest on hybrid metaheuristics has risen considerably in the field of optimization and machine learning. Integrating matheuristics and metaheuristics for timetabling Integrating matheuristics and metaheuristics for timetabling Fonseca, George H.G.; Santos, Haroldo G.; Carrano, Eduardo G. 2016-10-01 00:00:00 The High School Timetabling Problem requires the assignment of times and resources to events, while sets of required and desirable constraints must be considered. However, research on mathematical programming, and in particular on discrete Model-based metaheuristics,; Hybridizing (meta)heuristics and exact methods, Matheuristics for Industrial and Business Applica-tions block course: Dec 4-11, 2015, 9:00 a.m.-5:00 p.m. Hybridizing Metaheuristics and Mathematical Programming Various Approaches (POPMUSIC, Feasibility Pump etc.) and one of the pursued paths leads to including mathematical programming Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems) en - ISBN 10: Matheuristics Hybridizing Metaheuristics and Mathematical Programming edited Vittorio Maniezzo University of Bologna Thomas Stützte Universite Libre de Bruxelles (ULB) Stefan Voß Universität Hamburg )Sprringei r Integrating matheuristics and metaheuristics for timetabling. The integration of metaheuristics and mathematical programming approaches, namely matheuristics, is a growing field in operations research. S. VoßMatheuristics: hybridizing metaheuristics and mathematical programming (1st ed.), Springer, New York (2010) Google Scholar. We surveyed Matheuristics: Hybridizing Metaheuristics and Mathematical Programming buys, 2019 reviews, and sales over the recent 2 years for you at ProtectOurCoastLine - Your Search Result For Vittorio Maniezzo: Learning and Intelligent Optimization(9781441913050), Domande di algoritmi e strutture dati(9783540926948), Lezioni di algoritmi e strutture dati(9788837113667), Lezioni di algoritmi e strutture dati(9788837113209), Matheuristics: Hybridizing Metaheuristics and Mathematical Programming(9781282361669), 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, Bibliographic content of Matheuristics - Hybridizing Metaheuristics and Mathematical Programming Find many great new & used options and get the best deals for Matheuristics: Hybridizing Metaheuristics and Mathematical Programming Vittor at the best online prices at Hybrid Metaheuristics (Studies in Computational Intelligence) [El-ghazali Talbi] on *FREE* shipping on qualifying offers. The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete of hybrid metaheuristics for combinatorial optimization problems illustrat-ing prominent and paradigmatic examples, which range from the integration of metaheuristic techniques among themselves, to the hybridization of metaheuris-tics with constraint and mathematical programming. The interested reader can 2 Hybridizing Metaheuristics and Mathematical Programming. Editors Sage algorithms calculus genetic algorithms linear optimization mathematical optimization mathematical programming metaheuristic metaheuristics mixed integer programming nonlinear optimization optimization programming. Matheuristics: Hybridizing Metaheuristics and Mathematical Programming (Annals of Information Systems, Band 10) | Vittorio Maniezzo, Thomas Stützle, Stefan During the last years, hybrid approaches have been extensively employed due to their success when dealing with realistic problems, among others: those combining different metaheuristics,matheuristics (i.e., metaheuristics combined with mathematical programming),and simheuristics (i.e., metaheuristics combined with simulation). Matheuristics are made the interoperation of metaheuristics and mathematical programming (MP) techniques. An essential feature is the exploitation in some part of the algorithms of features derived from the mathematical model of the problems of interest, thus the definition "model-based metaheuristics" appearing in the title of some events Leo Liberti Publications (see the CV for a complete list) Mathematics Current (accepted) work [CLD] Martina Cerulli, Leo Liberti, Claudia D'Ambrosio, Flying safely bilevel programming, in Anna Sciomachen et al. (Eds.), Optimization and Decision Science: Methodologies and Applications (AIRO-ODS19), Proceedings in Mathematics and Statistics, Springer, accepted. 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. Get this from a library! Matheuristics:hybridizing metaheuristics and mathematical programming. [Vittorio Maniezzo; Thomas Stützle; Stefan Voss;] - 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 Modeling, learning and solving dynamic problems meta- and hyper- heuristics in maintenance. Patrick De Causmaecker o Hybridizing meta heuristic and exact mathematical ideas Mathematical programming