Description: Handbook of Nature-inspired Optimization Algorithms - the State of the Art : Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems, Hardcover by Mohamed, Ali (EDT); Oliva, Diego (EDT); Suganthan, Ponnuthurai Nagaratnam (EDT), ISBN 3031075110, ISBN-13 9783031075117, Brand New, Free shipping in the US 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.
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Book Title: Handbook of Nature-inspired Optimization Algorithms - the State o
Number of Pages: X, 279 Pages
Language: English
Publication Name: Handbook of Nature-Inspired Optimization Algorithms: the State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Intelligence (Ai) & Semantics, General
Publication Year: 2022
Item Weight: 21.4 Oz
Type: Textbook
Item Length: 9.3 in
Author: Diego Oliva
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 6.1 in
Series: Studies in Systems, Decision and Control Ser.
Format: Hardcover
