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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 192 pp. Englisch.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.You'll start with an introduction to the hidden algorithms that nature uses and find the approximate solutions to optimization problems. You'll then see how living creatures such as fish and birds are able to perform computation to solve specific optimization tasks. This book also covers various nature-inspired algorithms by reviewing code examples for each one followed by crisp and clear explanations of the algorithm using Java code. You'll examine the use of each algorithm in specific industry scenarios such as fleet scheduling in supply chain management, and shop floor management in industrial and manufacturing applications. Nature-Inspired Optimization Algorithms with Java is your pathway to understanding a variety of optimization problems that exist in various industries and domains and it will develop an ability to apply nature-inspired algorithms to find approximate solutions to them.What You'll LearnStudy optimization and its problemsExamine nature-inspired algorithms such as Particle Swarm, Gray wolf, etc.See how nature-inspired algorithms are being used to solve optimization problemsUse Java for solving the different nature-inspired algorithms with real-world examplesWho This Book Is For Software developers/architects who are looking to hone their skills in area of problem solving related to optimization with Java.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.You'll start with an introduction to the hidden algorithms that nature uses and find the approximate solutions to optimization problems. You'll then see how living creatures such as fish and birds are able to perform computation to solve specific optimization tasks. This book also covers various nature-inspired algorithms by reviewing code examples for each one followed by crisp and clear explanations of the algorithm using Java code. You'll examine the use of each algorithm in specific industry scenariossuch as fleet scheduling in supply chain management, and shop floor management in industrial and manufacturing applications.Nature-Inspired Optimization Algorithms with Java is your pathway to understanding a variety of optimization problems that exist in various industries and domains and it will develop an ability to apply nature-inspired algorithms to find approximate solutions to them.What You'll LearnStudy optimization and its problemsExamine nature-inspired algorithms such asParticle Swarm, Gray wolf, etc.See how nature-inspired algorithms are being used to solve optimization problemsUse Java for solving the different nature-inspired algorithms with real-world examplesWho This Book Is ForSoftware developers/architects who are looking to hone their skills in area of problem solving related to optimization with Java. 192 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.You ll start with an introduction to the hidden alg.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired optimization techniques to solve problems using Java.You'll start with an introduction to the hidden algorithms that nature uses and find the approximate solutions to optimization problems. You'll then see how living creatures such as fish and birds are able to perform computation to solve specific optimization tasks. This book also covers various nature-inspired algorithms by reviewing code examples for each one followed by crisp and clear explanations of the algorithm using Java code. You'll examine the use of each algorithm in specific industry scenariossuch as fleet scheduling in supply chain management, and shop floor management in industrial and manufacturing applications.Nature-Inspired Optimization Algorithms with Java is your pathway to understanding a variety of optimization problems that exist in various industries and domains and it will develop an ability to apply nature-inspired algorithms to find approximate solutions to them.What You'll LearnStudy optimization and its problemsExamine nature-inspired algorithms such asParticle Swarm, Gray wolf, etc.See how nature-inspired algorithms are being used to solve optimization problemsUse Java for solving the different nature-inspired algorithms with real-world examplesWho This Book Is ForSoftware developers/architects who are looking to hone their skills in area of problem solving related to optimization with Java.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Nature-Inspired Optimization Algorithms with Java | A Look at Optimization Techniques | Shashank Jain | Taschenbuch | xiii | Englisch | 2021 | APRESS | EAN 9781484274002 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.