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portada Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
Type
Physical Book
Publisher
Author
Language
English
Pages
70
Format
Hardcover
Dimensions
24.4x17x0.6 cm
Weight
0.32 kg.
ISBN13
9781789233285
Categories

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Del Ser Lorente, Javier ; Osaba, Eneko (Author) · Intechopen · Hardcover

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization - del Ser Lorente, Javier ; Osaba, Eneko

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Synopsis "Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization"

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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