Nature-Inspired Optimization Algorithms with Java:A Look at Optimization Techniques

Nature-Inspired Optimization Algorithms with Java:A Look at Optimization Techniques 1st ed. Edition
Author:Shashank Jain (Author)
Publisher Finelybook 出版社:Apress; 1st ed. edition (December 12, 2021)
Language 语言:English
pages 页数:188 pages
ISBN-10 书号:1484274008
ISBN-13 书号:9781484274002

Book 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 Author:reviewing code examples for each one followed Author: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

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