Theory and New Applications of Swarm Intelligence
eBook - PDF

Theory and New Applications of Swarm Intelligence

  1. 206 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Theory and New Applications of Swarm Intelligence

About this book

The field of research that studies the emergent collective intelligence of self-organized and decentralized simple agents is referred to as Swarm Intelligence. It is based on social behavior that can be observed in nature, such as flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. The computer science community have already learned about the importance of emergent behaviors for complex problem solving. Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Theory and New Applications of Swarm Intelligence by Rafael Parpinelli,Heitor S. Lopes, Rafael Parpinelli, Heitor S. Lopes in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Theory and New Applications of Swarm Intelligence
  2. Contents
  3. Preface
  4. Chapter 1 Swarm-Based Metaheuristic Algorithms and No-Free-Lunch Theorems
  5. Chapter 2 Analysis of the Performance of the Fish School Search Algorithm Running in Graphic Processing Units
  6. Chapter 3 Social Emotional Optimization Algorithm with Random Emotional Selection Strategy
  7. Chapter 4 The Pursuit of Evolutionary Particle Swarm Optimization
  8. Chapter 5 Volitive Clan PSO - An Approach for Dynamic Optimization Combining Particle Swarm Optimization and Fish School Search
  9. Chapter 6 Inverse Analysis in Civil Engineering: Applications to Identification of Parameters and Design of Structural Material Using Mono or Multi-Objective Particle Swarm Optimization
  10. Chapter 7 Firefly Meta-Heuristic Algorithm for Training the Radial Basis Function Network for Data Classification and Disease Diagnosis
  11. Chapter 8 Under-Updated Particle Swarm Optimization for Small Feature Selection Subsets from Large-Scale Datasets
  12. Chapter 9 Predicting Corporate Forward 2 Month Earnings