Titlebook: Mathematical Foundations of Nature-Inspired Algorithms; Xin-She Yang,Xing-Shi He Book 2019 The Author(s), under exclusive license to Sprin

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https://doi.org/10.1007/978-3-030-16936-7General Formulation of Optimization; Essence of an Algorithm; ; Unconstrained Optimization; Gradient-Bas

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Book 2019, 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 sea

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Introduction to Optimization,verse, ranging from the traditional gradient-based algorithms to contemporary swarm intelligence based algorithms. This chapter introduces the fundamentals of optimization and some of the traditional optimization techniques.

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Introduction to Optimization,anning, computer science, data mining, machine learning, artificial intelligence and industries. The techniques and algorithms for optimization are diverse, ranging from the traditional gradient-based algorithms to contemporary swarm intelligence based algorithms. This chapter introduces the fundame

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