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Nature-Inspired Optimization Algorithms with Java

A Look at Optimization Techniques

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Éditeur :

Apress


Paru le : 2021-12-11



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Description
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 Learn

Study optimization and its problems
Examine nature-inspired algorithms such as Particle Swarm, Gray wolf, etc.
See how nature-inspired algorithms are being used to solve optimization problems
Use Java for solving the different nature-inspired algorithms with real-world examples
Who This Book Is For
 

Software developers/architects who are looking to hone their skills in area of problem solving related to optimization with Java.
Pages
175 pages
Collection
n.c
Parution
2021-12-11
Marque
Apress
EAN papier
9781484274002
EAN PDF
9781484274019
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
2642 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
46,34 €
EAN EPUB
9781484274019
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
5827 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
46,34 €

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