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Nature Inspired Optimization Algorithms Java by Jain Shashank (20 results)
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Condition: New. Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques (Paperback or Softback).
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Condition: As New. Unread book in perfect condition.
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Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. Paperback. . . . . .
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Nature-inspired Optimization Algorithms With Java : A Look at Optimization Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 43.66
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Ships from United Kingdom to U.S.A.Quantity: 9 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
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Nature-inspired Optimization Algorithms With Java : A Look at Optimization Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.32
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Ships from United Kingdom to U.S.A.Quantity: 9 available
Add to basketCondition: New.
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Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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US$ 58.96
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Add to basketPaperback. Condition: New.
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Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Nature-Inspired Optimization Algorithms with Java
Language: English
Published by Apress, Apress Dez 2021, 2021
ISBN 10: 1484274008 ISBN 13: 9781484274002
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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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Condition: 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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Condition: new. Questo è un articolo print on demand.
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Nature-Inspired Optimization Algorithms with Java
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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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Nature-Inspired Optimization Algorithms with Java
Language: English
Published by Springer, Berlin|Apress, 2022
ISBN 10: 1484274008 ISBN 13: 9781484274002
Condition: 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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Taschenbuch. Condition: 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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Taschenbuch. Condition: 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.
