Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Artificial Intelligence for Big Data

You're reading from  Artificial Intelligence for Big Data

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Pages 384 pages
Edition 1st Edition
Languages
Authors (2):
Anand Deshpande Anand Deshpande
Profile icon Anand Deshpande
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (19) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 1. Other Books You May Enjoy Index

Ant colony optimization model


The ant colony optimization (ACO) is another widely used and adapted variation of the SI algorithms. At its minimum, the objective of the ant colony or the artificial agent swarms is to set out in search for an asset (food in case of ants and a package in case of a robot colony in a retailer warehouse) in an optimum way so as to traverse minimum distance to and from the asset and the base location. This model is useful with surveillance drones, autonomous car route planning, and so on.

Let us understand some of the operating principles in an ant colony and get introduced to the terminologies so that those can be applied in designing artificial swarms based on the ACO model. Here is a figure of an Ant colony and a Food source

Figure 9.4 Ant colony representation and terms

In this example, there is food source in the vicinity of the ant colony. There are two paths to the food. Path-1 is a long distance to the Food source and Path-2 is the shortest distance. The...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime