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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Name: Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
Brand: IntechOpen
SKU: 23923653
Price: 38563 HUF
Availability: InStock
Author: Javier Del Ser Lorente
ISBN: 9781789233285

Javier Del Ser Lorente

Eneko Osaba

Language

English

Book Hardback

Libristo code: 23923653

Publishers IntechOpen, July 2018

Nature-inspired algorithms have a great popularity in the current scientific community, being the fo... Full description

Libristo code: 23923653

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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.