Computational Intelligence Applied to Inverse Problems in Radiative Transfer
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62 125 Ft
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Product details:
- Edition number 1st ed. 2023
- Publisher Editora da Universidade do Estado do Rio de Janeiro
- Date of Publication 13 December 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783031435430
- Binding Hardback
- No. of pages228 pages
- Size 235x155 mm
- Weight 571 g
- Language English
- Illustrations XXXVIII, 228 p. 44 illus., 2 illus. in color. Illustrations, black & white 520
Categories
Analysis
Optimization, linear programming, game theory
Applied mathematics
Mathematics in engineering and natural sciences
Engineering in general
Theory of computing, computing in general
Operating systems and graphical user interfaces
Artificial Intelligence
Analysis (charity campaign)
Optimization, linear programming, game theory (charity campaign)
Applied mathematics (charity campaign)
Mathematics in engineering and natural sciences (charity campaign)
Engineering in general (charity campaign)
Theory of computing, computing in general (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Artificial Intelligence (charity campaign)
Long description:
This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-depth exploration of heuristic optimization methods, each meticulously described and accompanied by historical context and natural process analogies.
While the applications showcased primarily focus on radiative transfer, their potential extends to various domains, particularly nonlinear and large-scale problems where traditional deterministic methods fall short. With clear and comprehensive presentations, this book empowers readers to adapt each method to their specific needs. Furthermore, practical examples of classical optimization problems and application suggestions are included to enhance your understanding.
Table of Contents:
Foreword.- Preface.- Introduction.- Radiative Transfer.- Inverse Problems in Radiative Transfer: An Implicit Formulation.- Computational Intelligence in Optimization Problems.- Simulated Annealing.- Genetic Algorithms.- Artificial Neural Networks.- Ant Colony Optimization.- Artificial Bee Colony Algorithm.- Particle Swarm Optimization.- Generalized Extremal Optimization.- Particle Collision Algorithm.- Differential Evolution.- Luus-Jaakola Algorithm.- Firefly Algorithm.- Application Projects.- Final Considerations.- References.
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