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

Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems

Ali Mohamed editor Ponnuthurai Nagaratnam Suganthan editor Diego Oliva editor

Format:Hardback

Publisher:Springer International Publishing AG

Published:1st Sep '22

Currently unavailable, and unfortunately no date known when it will be back

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

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 proje

ISBN: 9783031075117

Dimensions: unknown

Weight: unknown

279 pages

1st ed. 2022