Del 212 i serien Studies in Systems, Decision and Control
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
Inbunden, Engelska, 2022
2 209 kr
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The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.
Produktinformation
- Utgivningsdatum2022-09-01
- Mått155 x 235 x 22 mm
- Vikt606 g
- FormatInbunden
- SpråkEngelska
- SerieStudies in Systems, Decision and Control
- Antal sidor279
- FörlagSpringer International Publishing AG
- ISBN9783031075117
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