Mathematical Foundations Of Nature-Inspired Algorithms - Yang Xin-She; He Xing-Shi | Libro Springer 05/2019 - HOEPLI.it


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yang xin-she; he xing-shi - mathematical foundations of nature-inspired algorithms

Mathematical Foundations of Nature-Inspired Algorithms

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 05/2019
Edizione: 1st ed. 2019





Sommario

1 Introduction to Optimization.- 2 Nature-Inspired Algorithms.- 3 Mathematical Foundations.- 4 Mathematical Analysis I.- 5 Mathematical Analysis II.






Trama

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.








Altre Informazioni

ISBN:

9783030169350

Condizione: Nuovo
Collana: SpringerBriefs in Optimization
Dimensioni: 235 x 155 mm Ø 197 gr
Formato: Brossura
Illustration Notes:2 Illustrations, black and white
Pagine Arabe: 107
Pagine Romane: xi






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