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Handbook of Nature-Inspired Optimization Algorithms
Redigert av Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan, Diego Oliva, 2022.Del av serien Studies in Systems, Decision and Control.
Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems
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.
InnbundetEngelsk
Normalpris: 1 769,-
1 592,-
Spar 177,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Handbook of Nature-Inspired Optimization Algorithms
Redigert av Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan, Diego Oliva, 2022.Del av serien Studies in Systems, Decision and Control.
Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems
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.
Normalpris: 1 769,-
1 592,-
Spar 177,-
InnbundetEngelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
1 592,-
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