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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems (Hardcover, 1st ed. 2022)
Loot Price: R4,496
Discovery Miles 44 960
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems (Hardcover, 1st ed. 2022)
Series: Studies in Systems, Decision and Control, 213
Expected to ship within 10 - 15 working days
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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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