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Annals of Information Systems #10: Matheuristics: Hybridizing Metaheuristics and Mathematical Programming

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Annals of Information Systems #10: Matheuristics: Hybridizing Metaheuristics and Mathematical Programming Cover

 

Synopses & Reviews

Publisher Comments:

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. Topics to be covered will also include dual information and metaheuristics; metaheuristics for stochastic problems; MIP solvers as search components; decompositions and lower/upper bounds in metaheuristics/MIP codes (MH codes); and real-world case histories of successful MH applications.  

Synopsis:

This edited book provides a survey of the most up-to-date research in this field by collecting a number of invited reviews by well-known specialists, as well as refereed papers from the second Matheuristics workshop held in Bertinoro, Italy, in June 2008.

Synopsis:

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 MIP-based 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 Snežana Mitrovic-Minic and Abraham P. Punnen A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo

Table of Contents

Metaheuristics: Intelligent Problem Solving.- Just MIP it!.- MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics.- Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms.- Decomposition Techniques as Metaheuristics Frameworks.- Convergence Analysis of Metaheuristics.- MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines.- (Meta-)Heuristic Separation of Jump Cuts in a Branch & 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 m-Peripatetic Vehicle Routing Problem.- Index.

Product Details

ISBN:
9781441913050
Author:
Maniezzo, Vittorio
Publisher:
Springer
Editor:
Sta1/4tzle, Thomas
Editor:
Voa, Stefan
Editor:
Stutzle, Thomas
Author:
Vos, Stefan
Author:
Stutzle, Thomas
Subject:
Operations Research
Subject:
Game Theory
Subject:
Management Information Systems
Subject:
Business Writing
Subject:
Mathematical optimization
Subject:
Mathematical programming
Subject:
metaheuristics
Subject:
mixed-integer programming
Subject:
Operations Research/Decision Theory
Subject:
BUSINESS INFORMATION SYSTEMS
Subject:
Game Theory/Mathematical Methods
Subject:
Operations Research, Management Science
Subject:
Game Th
Subject:
eory/Mathematical Methods
Subject:
Operation Research/Decision Theory
Copyright:
Edition Description:
2010
Series:
Annals of Information Systems
Series Volume:
10
Publication Date:
20091002
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
288
Dimensions:
235 x 155 mm 900 gr

Related Subjects

Business » Business Plans
Business » General
Business » High Tech Management
Business » Management
Business » Writing
Computers and Internet » Database » Applications
Science and Mathematics » Biology » General
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » Modeling

Annals of Information Systems #10: Matheuristics: Hybridizing Metaheuristics and Mathematical Programming New Trade Paper
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$209.75 In Stock
Product details 288 pages Springer - English 9781441913050 Reviews:
"Synopsis" by , This edited book provides a survey of the most up-to-date research in this field by collecting a number of invited reviews by well-known specialists, as well as refereed papers from the second Matheuristics workshop held in Bertinoro, Italy, in June 2008.
"Synopsis" by , 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 MIP-based 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 Snežana Mitrovic-Minic and Abraham P. Punnen A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo
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