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Introduction to Nature-Inspired Optimization
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Pages: 256
Authors: George Lindfield
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Type: BOOK - Published: 2017-08-10 - Publisher: Academic Press

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Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in
Nature-Inspired Optimization Algorithms
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Authors: Xin-She Yang
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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach
Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
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This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot addres
Nature-inspired Metaheuristic Algorithms
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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even
Mathematical Foundations of Nature-Inspired Algorithms
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Authors: Xin-She Yang
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This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book