Articles liés à Essentials of Metaheuristics (Second Edition)

Essentials of Metaheuristics (Second Edition) - Couverture souple

Luke, Sean

 
9781300549628: Essentials of Metaheuristics (Second Edition)
Couverture souple
ISBN 10 : 1300549629 ISBN 13 : 9781300549628
Editeur : Lulu.com, 2012

Synopsis

Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, Nsga-Ii, Spea2, Grasp, Ant Colony Optimization variants, Guided Local Search, Lem, Pbil, Umda, cGa, Boa, Samuel, Zcs, Xcs, and Xcsf.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Lulu.com
Date d'édition
2012
Langue
anglais
ISBN 10 
1300549629
ISBN 13 
9781300549628
Reliure
Broché
Nombre de pages
242
Coordonnées du fabricant
non disponible
Personne responsable
HACHETTE LIVRE SA
https://www.hachette.fr/

1 AVENUE GUTENBERG
MAUREPAS CEDEX
78319
France