Mathematical Foundations of Nature-Inspired Algorithms

• Main Authors: Yang, Xin-She (Author, http://id.loc.gov/vocabulary/relators/aut), He, Xing-Shi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Optimization,
• Subjects: Mathematical optimization.; Numerical analysis.; Markov processes.; Algorithms.; Optimization.; Numerical Analysis.; Markov model.

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...

Table of Contents:

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