EconPapers    
Economics at your fingertips  
 

Handbook of Metaheuristics

Edited by Michel Gendreau () and Jean-Yves Potvin ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2010
ISBN: 978-1-4419-1665-5
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Simulated Annealing
Alexander G. Nikolaev and Sheldon H. Jacobson
Ch Chapter 10 Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications
Mauricio G.C. Resende and Celso C. Ribeiro
Ch Chapter 11 Guided Local Search
Christos Voudouris, Edward P.K. Tsang and Abdullah Alsheddy
Ch Chapter 12 Iterated Local Search: Framework and Applications
Helena R. Lourenço, Olivier C. Martin and Thomas Stützle
Ch Chapter 13 Large Neighborhood Search
David Pisinger and Stefan Ropke
Ch Chapter 14 Artificial Immune Systems
Julie Greensmith, Amanda Whitbrook and Uwe Aickelin
Ch Chapter 15 A Classification of Hyper-heuristic Approaches
Edmund K. Burke, Matthew Hyde, Graham Kendall, Gabriela Ochoa, Ender Özcan and John R. Woodward
Ch Chapter 16 Metaheuristic Hybrids
Günther R. Raidl, Jakob Puchinger and Christian Blum
Ch Chapter 17 Parallel Meta-heuristics
Teodor Gabriel Crainic and Michel Toulouse
Ch Chapter 18 Reactive Search Optimization: Learning While Optimizing
Roberto Battiti and Mauro Brunato
Ch Chapter 19 Stochastic Search in Metaheuristics
Walter J. Gutjahr
Ch Chapter 2 Tabu Search
Michel Gendreau and Jean-Yves Potvin
Ch Chapter 20 An Introduction to Fitness Landscape Analysis and Cost Models for Local Search
Jean-Paul Watson
Ch Chapter 21 Comparison of Metaheuristics
John Silberholz and Bruce Golden
Ch Chapter 3 Variable Neighborhood Search
Pierre Hansen, Nenad Mladenović, Jack Brimberg and José A. Moreno Pérez
Ch Chapter 4 Scatter Search and Path-Relinking: Fundamentals, Advances, and Applications
Mauricio G.C. Resende, Celso C. Ribeiro, Fred Glover and Rafael Martí
Ch Chapter 5 Genetic Algorithms
Colin R. Reeves
Ch Chapter 6 A Modern Introduction to Memetic Algorithms
Pablo Moscato and Carlos Cotta
Ch Chapter 7 Genetic Programming
William B. Langdon, Robert I. McKay and Lee Spector
Ch Chapter 8 Ant Colony Optimization: Overview and Recent Advances
Marco Dorigo and Thomas Stützle
Ch Chapter 9 Advanced Multi-start Methods
R. Martí, J. Marcos Moreno-Vega and A. Duarte

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-1-4419-1665-5

Ordering information: This item can be ordered from
http://www.springer.com/9781441916655

DOI: 10.1007/978-1-4419-1665-5

Access Statistics for this book

More books in International Series in Operations Research and Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isorms:978-1-4419-1665-5