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Title
Handbook of nature-inspired optimization algorithms : the state of the art. Volume II, Solving contrained single objective real-parameter optimization problems / Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan, editors.
ISBN
9783031075162 (electronic bk.)
3031075161 (electronic bk.)
9783031075155
3031075153
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (x, 214 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-07516-2 doi
Call Number
QA402.5
Dewey Decimal Classification
519.6
Summary
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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Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Studies in systems, decision and control ; v. 213.
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