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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: 2019
Edition: 3rd ed. 2019
ISBN: 978-3-319-91086-4
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Chapters in this book:

Ch 19 Correction to: Swarm Intelligence
Xiaodong Li and Maurice Clerc
Ch Chapter 1 Simulated Annealing: From Basics to Applications
Daniel Delahaye, Supatcha Chaimatanan and Marcel Mongeau
Ch Chapter 10 Ant Colony Optimization: Overview and Recent Advances
Marco Dorigo and Thomas Stützle
Ch Chapter 11 Swarm Intelligence
Xiaodong Li and Maurice Clerc
Ch Chapter 12 Metaheuristic Hybrids
Günther R. Raidl, Jakob Puchinger and Christian Blum
Ch Chapter 13 Parallel Metaheuristics and Cooperative Search
Teodor Crainic
Ch Chapter 14 A Classification of Hyper-Heuristic Approaches: Revisited
Edmund K. Burke, Matthew R. Hyde, Graham Kendall, Gabriela Ochoa, Ender Özcan and John R. Woodward
Ch Chapter 15 Reactive Search Optimization: Learning While Optimizing
Roberto Battiti, Mauro Brunato and Andrea Mariello
Ch Chapter 16 Stochastic Search in Metaheuristics
Walter J. Gutjahr and Roberto Montemanni
Ch Chapter 17 Automated Design of Metaheuristic Algorithms
Thomas Stützle and Manuel López-Ibáñez
Ch Chapter 18 Computational Comparison of Metaheuristics
John Silberholz, Bruce Golden, Swati Gupta and Xingyin Wang
Ch Chapter 2 Tabu Search
Michel Gendreau and Jean-Yves Potvin
Ch Chapter 3 Variable Neighborhood Search
Pierre Hansen, Nenad Mladenović, Jack Brimberg and José A. Moreno Pérez
Ch Chapter 4 Large Neighborhood Search
David Pisinger and Stefan Ropke
Ch Chapter 5 Iterated Local Search: Framework and Applications
Helena Ramalhinho Lourenço, Olivier C. Martin and Thomas Stützle
Ch Chapter 6 Greedy Randomized Adaptive Search Procedures: Advances and Extensions
Mauricio G. C. Resende and Celso C. Ribeiro
Ch Chapter 7 Intelligent Multi-Start Methods
Rafael Martí, Ricardo Aceves, Maria Teresa León, Jose M. Moreno-Vega and Abraham Duarte
Ch Chapter 8 Next Generation Genetic Algorithms: A User’s Guide and Tutorial
Darrell Whitley
Ch Chapter 9 An Accelerated Introduction to Memetic Algorithms
Pablo Moscato and Carlos Cotta

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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-319-91086-4

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DOI: 10.1007/978-3-319-91086-4

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