Description: Handbook of Nature-inspired Optimization Algorithms - the State of the Art : Solving Constrained Single Objective Real-parameter Optimization Problems, Hardcover by Mohamed, Ali (EDT); Oliva, Diego (EDT); Suganthan, Ponnuthurai Nagaratnam (EDT), ISBN 3031075153, ISBN-13 9783031075155, 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.
Price: 186.59 USD
Location: Jessup, Maryland
End Time: 2024-12-25T03:02:04.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Handbook of Nature-inspired Optimization Algorithms - the State o
Number of Pages: X, 214 Pages
Language: English
Publication Name: Handbook of Nature-Inspired Optimization Algorithms: the State of the Art : Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Engineering (General), Intelligence (Ai) & Semantics, General
Item Weight: 17.8 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Diego Oliva
Item Width: 6.1 in
Series: Studies in Systems, Decision and Control Ser.
Format: Hardcover
