
Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
IntechOpen (Publisher)
Published on 18. July 2018
Book
Hardback
70 pages
978-1-78923-328-5 (ISBN)
Description
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.
More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 266 mm
Width: 185 mm
Thickness: 10 mm
Weight
376 gr
ISBN-13
978-1-78923-328-5 (9781789233285)
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Schweitzer Classification