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Matheuristics

Hybridizing Metaheuristics and Mathematical Programming

Vittorio Maniezzo, Thomas Stützle, Stefan Voß (Herausgeber)

Buch | Softcover

270 Seiten

2009
Springer-Verlag New York Inc.
978-1-4419-1305-0 (ISBN)

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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.

Metaheuristics: Intelligent Problem Solving.- Just MIP it#x0021;.- MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics.- Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms.- Decomposition Techniques as Metaheuristic Frameworks.- Convergence Analysis of Metaheuristics.- MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines.- (Meta-)Heuristic Separation of Jump Cuts in a Branch#x0026;Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem.- A Good Recipe for Solving MINLPs.- Variable Intensity Local Search.- A Hybrid Tabu Search for the -Peripatetic Vehicle Routing Problem.

Erscheint lt. Verlag	2.10.2009
Reihe/Serie	Annals of Information Systems ; 10
Zusatzinfo	19 Illustrations, black and white; XVIII, 270 p. 19 illus.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Wirtschaft ► Allgemeines / Lexika
	Wirtschaft ► Betriebswirtschaft / Management
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	1-4419-1305-X / 144191305X
ISBN-13	978-1-4419-1305-0 / 9781441913050
Zustand	Neuware