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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Language EnglishEnglish
Book Hardback
Book Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization Javier Del Ser Lorente
Libristo code: 23923653
Publishers IntechOpen, July 2018
Nature-inspired algorithms have a great popularity in the current scientific community, being the fo... Full description
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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.

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About the book

Full name Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
Language English
Binding Book - Hardback
Date of issue 2018
Number of pages 70
EAN 9781789233285
ISBN 1789233283
Libristo code 23923653
Publishers IntechOpen
Weight 376
Dimensions 180 x 260 x 10
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