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Essentials of Metaheuristics (Second Edition)

BySean Luke

Usually printed in 3 - 5 business days
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.

Details

Publication Date
Dec 21, 2012
Language
English
ISBN
9781300549628
Category
Computers & Technology
Copyright
All Rights Reserved - Standard Copyright License
Contributors
By (author): Sean Luke

Specifications

Pages
242
Binding
Perfect Bound
Interior Color
Black & White
Dimensions
US Letter (8.5 x 11 in / 216 x 279 mm)

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