Book description
SWARM INTELLIGENCEThis important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.
Motivated by the capability of the biologically inspired algorithms, “Swarm Intelligence: An Approach from Natural to Artificial” focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence.
Discussed in the book are applications of various swarm intelligence models to operational planning of energy plants, modeling, and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms.
Audience
The book is directed to researchers, practicing engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Preface
-
1 Introduction of Swarm Intelligence
- 1.1 Introduction to Swarm Behavior
- 1.2 Concepts of Swarm Intelligence
- 1.3 Particle Swarm Optimization (PSO)
- 1.4 Meaning of Swarm Intelligence
- 1.5 What Is Swarm Intelligence?
- 1.6 History of Swarm Intelligence
- 1.7 Taxonomy of Swarm Intelligence
- 1.8 Properties of Swarm Intelligence
- 1.9 Design Patterns in Cyborg Swarm
- 1.10 Design Patterns Updating in Cyborg
- 1.11 Property of Design Cyborg
- 1.12 Extending the Design of Cyborg
- 1.13 Bee-Inspired Cyborg
- 1.14 Conclusion
- 2 Foundation of Swarm Intelligence
- 3 The Particle Swarm and Collective Intelligence
- 4 Algorithm of Swarm Intelligence
- 5 Novel Swarm Intelligence Optimization Algorithm (SIOA)
- 6 Swarm Cyborg
- 7 Immune-Inspired Swarm Cybernetic Systems
-
8 Application of Swarm Intelligence
- 8.1 Swarm Intelligence Robotics
- 8.2 An Agent-Based Approach to Self-Organized Production
- 8.3 Organic Computing and Swarm Intelligence
- 8.4 Swarm Intelligence Techniques for Cloud Services
- 8.5 Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies
- 8.6 Swarm Intelligence in Data Mining
- 8.7 Swarm Intelligence and Knowledge Discovery
- 8.8 Ant Colony Optimization and Data Mining
- 8.9 Conclusion
- References
- Index
- End User License Agreement
Product information
- Title: Swarm Intelligence
- Author(s):
- Release date: March 2023
- Publisher(s): Wiley-Scrivener
- ISBN: 9781119865063
You might also like
book
Swarm Intelligence
Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field …
book
Swarm Intelligence
This book delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial …
article
Twenty Years of Open Innovation
Organizations that practice open innovation draw on external resources to develop new ideas for products and …
book
Swarm Intelligence Algorithms
This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers …