Matheuristics
Hybridizing Metaheuristics and Mathematical Programming
Buch in deiner Nähe kaufen
Beschreibung
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 ProblemSandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo
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.
Presents the latest research on using mathematical programming in metaheuristics frameworks Represents a major advance in complex problem-solving methodologies Presents breakthroughs in using Mixed Integer Programming to solve real-world problems Includes supplementary material: sn.pub/extras
Autor*in
Vittorio Maniezzo
Themen in »Matheuristics«
Sage algorithms calculus genetic algorithms linear optimization mathematical optimization mathematical programming metaheuristic metaheuristics mixed integer programming nonlinear optimization optimization programming