Handbook of Nature-inspired Optimization Algorithms - the State of the Art : Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems

Mohamed, Ali (EDT); Oliva, Diego (EDT); Suganthan, Ponnuthurai Nagaratnam (EDT)

ISBN 10: 3031075110 / ISBN 13: 9783031075117

Published by Springer, 2022

About this Item

Seller Inventory # 44841842-n

Bibliographic Details

• Title: Handbook of Nature-inspired Optimization Algorithms - the State of the Art : Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3031075110
• ISBN 13: 9783031075117
• Binding: Hardcover
• Condition: New

About this title

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.