
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 Type
- Paperback Perfect Bound
- Interior Color
- Black & White
- Dimensions
- US Letter (8.5 x 11 in / 216 x 279 mm)