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Matheuristics
Hybridizing Metaheuristics and Mathematical Programming, Annals of Information Systems 10
ISBN/EAN: 9781441913050
Umbreit-Nr.: 1514891
Sprache:
Englisch
Umfang: xviii, 270 S., 19 s/w Illustr., 270 p. 19 illus.
Format in cm:
Einband:
kartoniertes Buch
Erschienen am 02.10.2009
Auflage: 1/2009
- Zusatztext
- 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.
- Kurztext
- - Metaheuristics: Intelligent Problem Solving Marco Caserta and Stefan Voß Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stützle Decomposition Techniques as Metaheuristic Frameworks Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli Convergence Analysis of Metaheuristics Walter J. Gutjahr MIPbased GRASP and Genetic Algorithm for Balancing Transfer Lines Alexandre Dolgui, Anton Eremeev, and Olga Guschinskaya (Meta)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem Martin Gruber and Günther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Snezana Mitrovic-Minic and Abraham P. Punnen A Hybrid Tabu Search for the mPeripatetic Vehicle Routing Problem Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo