Nature-inspired optimization algorithms with Java : a look at optimization techniques / Shashank Jain.
Jain, Shashank, author.
2022
QA402.5 .J35 2022
Available Online

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Title Nature-inspired optimization algorithms with Java : a look at optimization techniques / Shashank Jain.
Author Jain, Shashank, author.
ISBN 9781484274019 electronic book
1484274016 electronic book
1484274008
9781484274002
DOI https://doi.org/10.1007/978-1-4842-7401-9
Published New York, NY : Apress, [2022]
Language English
Description 1 online resource (xiii, 175 pages) : illustrations
Item Number 10.1007/978-1-4842-7401-9 doi
Call Number QA402.5 .J35 2022
Dewey Decimal Classification 519.6
Summary 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. You will: 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on May 19, 2022).
Available in Other Form Nature-Inspired Optimization Algorithms with Java.
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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.

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