Warehouse Stock Clearance Sale

Grab a bargain today!


Sign Up for Fishpond's Best Deals Delivered to You Every Day
Go
Nature-Inspired Optimization ­Algorithms with Java
A Look at Optimization Techniques

Rating
Format
Paperback, 175 pages
Published
United States, 1 December 2021

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.


1. Intro to Optimization Problems
2. Nature Inspired Optimization Methods
3. Birds
a. Particle swarm Optimization
b. Cuckoo search algorithm
c. Pigeon inspired optimization
4. Mammals
a. Grey wolf optimizer
b. Lion Pride optimizer
c. Cat swarm optimization
d. Bat algorithm
e. Monkey algorithm
5. Insects
a. Ant colony optimization
b. Artificial Bee colony
c. Grasshopper optimization
d. Pigeon inspired algorithm
e. Social spider optimization
f. Mosquito host seeking optimization
6. Sea Creatures
a. Whale optimization algorithm
b. Artificial fish swarm algorithm
c. Fish school search
7. Simple Organisms
a. Bacteria foraging optimization
b. Slime mould optimization

Show more

Our Price
£31.20
Elsewhere
£39.99
Save £8.79 (22%)
Ships from USA Estimated delivery date: 12th May - 20th May from USA
Free Shipping Worldwide

Buy Together
+
Buy together with Introduction to Transformers for Nlp at a great price!
Buy Together
£54.40
Elsewhere Price
£59.19
You Save £4.79 (8%)

Product 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.


1. Intro to Optimization Problems
2. Nature Inspired Optimization Methods
3. Birds
a. Particle swarm Optimization
b. Cuckoo search algorithm
c. Pigeon inspired optimization
4. Mammals
a. Grey wolf optimizer
b. Lion Pride optimizer
c. Cat swarm optimization
d. Bat algorithm
e. Monkey algorithm
5. Insects
a. Ant colony optimization
b. Artificial Bee colony
c. Grasshopper optimization
d. Pigeon inspired algorithm
e. Social spider optimization
f. Mosquito host seeking optimization
6. Sea Creatures
a. Whale optimization algorithm
b. Artificial fish swarm algorithm
c. Fish school search
7. Simple Organisms
a. Bacteria foraging optimization
b. Slime mould optimization

Show more
Product Details
EAN
9781484274002
ISBN
1484274008
Publisher
Other Information
Illustrated
Dimensions
23.4 x 15.6 x 1 centimeters (0.28 kg)

Table of Contents

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. 

About the Author

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.

Show more
Review this Product
Ask a Question About this Product More...
 
Look for similar items by category
Item ships from and is sold by Fishpond.com, Inc.

Back to top
We use essential and some optional cookies to provide you the best shopping experience. Visit our cookies policy page for more information.