Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art is written by Ali Mohamed and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031075129 (ISBN 10) and 9783031075124 (ISBN 13).

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.