Książka Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization Javier Del Ser Lorente

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Język: Angielski
Oprawa: Twarda
Wydawca: IntechOpen
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
398.32
Nature-inspired algorithms have a great popularity in the current scientific community, being the fo...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2018
strony
70
EAN
9781789233285
ISBN
1789233283
Enbook ID
23923653
Wydawca
Waga
376
Wymiary
180 x 260 x 10

Pełny opis

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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