Nature-Inspired Optimization Algorithms wi...

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Beschreibung

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.

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.

Über den Autor

Shashank Jain has been working in the IT industry for about 20 years, mainly in areas of cloud computing and distributed systems. He has a keen interest in virtualization techniques, security, and complex systems. Shashank has 32 software patents (many yet to be published) in the area of cloud computing, IoT, and machine learning. He is a speaker at multiple reputed cloud conferences. Shashank holds Sun, Microsoft, and Linux kernel certifications. He is also the author of the book "Linux Containers and Virtualization" published by Apress.

Zusammenfassung

Easy to understand code examples of nature inspired algorithms

Covers most of the optimization solutions by nature inspired algorithms

Covers applications of each of the algorithms in specific industry problems

Inhaltsverzeichnis

1. Introduction to Optimization: Problems and Techniques.- 2. Mammals: Whale, Gray Wolf, and Bat Optimization.- 3. Birds: Particle Swarm and Cuckoo Search Optimization.- 4. Insects: Firefly Optimization.- 5. Sea Creatures: Salp Swarm Optimization.

Details

Erscheinungsjahr:	2021
Fachbereich:	Programmiersprachen
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xiii 175 S. 36 s/w Illustr. 175 p. 36 illus.
ISBN-13:	9781484274002
ISBN-10:	1484274008
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Jain, Shashank
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 11 mm
Von/Mit:	Shashank Jain
Erscheinungsdatum:	12.12.2021
Gewicht:	0,3 kg

Artikel-ID: 120423891