Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
eBook - PDF

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

  1. 70 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

About this book

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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Yes, you can access Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization by Javier Del Ser,Eneko Osaba, Javier Del Ser, Eneko Osaba in PDF and/or ePUB format, as well as other popular books in Mathematics & Optimization. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2018
Print ISBN
9781789233285
eBook ISBN
9781838815721

Table of contents

  1. Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization