Description: Handbook of Nature-Inspired Optimization Algorithms - The State of the Art : Solving Constrained Single Objective Real-Parameter Optimization Problems, Paperback by Mohamed, Ali Wagdy (EDT); Oliva, Diego (EDT); Suganthan, Ponnuthurai Nagaratnam (EDT), ISBN 3031075188, ISBN-13 9783031075186, Brand New, Free shipping in the US This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general 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
Item Length: 9.3in
Item Width: 6.1in
Author: Diego Oliva
Publication Name: Handbook of Nature-Inspired Optimization Algorithms: the State of the Art : Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems
Format: Trade Paperback
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Series: Studies in Systems, Decision and Control Ser.
Type: Textbook
Item Weight: 12.3 Oz
Number of Pages: X, 214 Pages
