Hybrid Metaheuristics: Research and Applications
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AlbakiReads Editorial Hybrid approaches to optimization problems
Hybrid approaches to optimization problems
This compendium examines hybrid metaheuristics: higher-level optimization approaches that combine or develop search procedures for problems where information may be incomplete or imperfect. Its emphasis falls on current work in designing new hybrid algorithms alongside their use across varied application areas. Framed around both foundational concepts and real-world problem solving, the volume positions hybrid metaheuristics within computational fields where complex optimization tasks arise. The material brings together research-oriented discussion of algorithm development with examples of practical application, making it a focused reference on this branch of optimization and artificial intelligence.
Good fit for readers who enjoy
- Graduate students studying optimization, artificial intelligence, robotics, or machine learning
- Researchers investigating hybrid metaheuristic algorithms
- Computing professionals applying optimization methods to real-world problems
Themes
Hybrid metaheuristicsOptimization algorithmsSearch proceduresArtificial intelligence applicationsReal-world problem solving
Based on publisher information and book metadata.
Book Overview A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimiza...
A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.
This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.
The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.
Book Details Format: Hardcover | Pages: 312 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9813270225
FormatHardcover
Pages312
LanguageEnglish
ISBN9813270225
EAN9789813270220
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date2018-10-08
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.29 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.75 Inches
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