Luke, Sean
Essentials of Metaheuristics - (Second Edition)
- ISBN 13:
- 9781300549628
- author:
- Luke, Sean
- format:
- Paperback
- publisher:
- lulu
- language:
- English
- Publication Year:
- 2022
- Pages:
- 242
- Dimensions:
- 27.9 x 21.6 x 1.3 centimetres (0
- Genre:
- Computers, General, ,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Essentials of Metaheuristics is a comprehensive guide to metaheuristic algorithms, covering techniques such as Genetic Algorithm, Simulated Annealing, and Ant Colony Optimization. This book is designed for undergraduate students, programmers, and non-experts looking to understand these complex algorithms.
The book provides in-depth coverage of a wide range of algorithms, including Gradient Ascent, Hill-Climbing variants, Iterated Local Search, Evolution Strategies, and Particle Swarm Optimization, among others. With 71 figures and 135 algorithms included, this resource is ideal for those seeking to gain a thorough understanding of metaheuristics.
With its focus on practical applications and detailed explanations, Essentials of Metaheuristics is an invaluable resource for anyone looking to learn about these powerful algorithms.
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