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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

by Javier del Ser Lorente
Save 14% Save 14%
Current price ₹10,845.00
Original price ₹12,642.00
Original price ₹12,642.00
Original price ₹12,642.00
(-14%)
₹10,845.00
Current price ₹10,845.00

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Book cover type: Hardcover
  • ISBN13: 9781789233285
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Intechopen
  • Publisher Imprint: Intechopen
  • Publication Date:
  • Pages: 70
  • Original Price: USD 129.0
  • Language: English
  • Edition: N/A
  • Item Weight: 318 grams
  • BISAC Subject(s): 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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