Essentials of Metaheuristics (Second Edition)

Essentials of Metaheuristics (Second Edition)
Author: Sean Luke
Publisher:
Total Pages: 242
Release: 2012-12-20
Genre: Algorithms
ISBN: 9781300549628


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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.


Essentials of Metaheuristics (Second Edition)
Language: en
Pages: 242
Authors: Sean Luke
Categories: Algorithms
Type: BOOK - Published: 2012-12-20 - Publisher:

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Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms
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Authors: Xin-She Yang
Categories: Computers
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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even
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Language: en
Pages: 226
Authors: Bastien Chopard
Categories: Computers
Type: BOOK - Published: 2018-11-02 - Publisher: Springer

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The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems.