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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
• Subtitle: Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
• Author: Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan
• Language: English
• Binding: Paperback
• Number of pages: 279
• EAN: 9783031075148
• ID: 43858437
• Publisher: Springer, Berlin
• Dimensions: 235 × 155 mm
• Date of publishing: 15. September 2023

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