Discrete Diversity and Dispersion Maximization

Edited by Rafael Martí () and Anna Martínez-Gavara ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2023
ISBN: 978-3-031-38310-6
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Chapters in this book:

Ch Chapter 1 Discrete Diversity Optimization: Models and Instances

Anna Martínez-Gavara

Ch Chapter 10 Simulated Annealing

Rex K. Kincaid and Anh Ninh

Ch Chapter 11 Scatter Search

Manuel Laguna, Anna Martínez-Gavara and Rafael Martí

Ch Chapter 12 Memetic Algorithms

Jin-Kao Hao and Xiangjing Lai

Ch Chapter 13 Data Mining in Heuristic Search

Eduardo Oliveira, Simone de Lima Martins, Alexandre Plastino, Isabel Rosseti and Geiza Cristina da Silva

Ch Chapter 14 Multi-objective Optimization

J. Manuel Colmenar, Alberto Herrán and Raúl Martín-Santamaría

Ch Chapter 2 The Origins of Discrete Diversity

Michael Kuby

Ch Chapter 3 Geometrical Analysis of Solutions

Jorge Mortes, Francisco Parreño and Rafael Martí

Ch Chapter 4 Constructive and Destructive Methods in Heuristic Search

Roberto Aringhieri, Roberto Cordone, Alberto Guastalla and Andrea Grosso

Ch Chapter 5 Greedy Randomized Adaptive Search Procedure

Sergio Pérez-Peló, Jesús Sánchez-Oro and Abraham Duarte

Ch Chapter 6 Iterated Greedy

Manuel Lozano and Francisco J. Rodríguez

Ch Chapter 7 Tabu Search

Rafael Martí, Anna Martínez-Gavara and Fred Glover

Ch Chapter 8 Variable Neighborhood Search

Dragan Urošević, Raca Todosijević, Nenad Mladenović and Jack Brimberg

Ch Chapter 9 Less Is More Approach

Raca Todosijević, Dragan Urošević, Nenad Mladenović and Jack Brimberg

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DOI: 10.1007/978-3-031-38310-6

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