Swarm Intelligence by Fouad Sabry

What Is Swarm Intelligence

The collective behavior of decentralized, self-organized systems, either natural or artificial, is what is referred to as swarm intelligence (SI). The idea is used in research that is being done on artificial intelligence. In 1989, Gerardo Beni and Jing Wang were the ones who first used the phrase "cellular robotic systems" in connection with their respective fields of study.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Swarm intelligence

Chapter 2: Genetic algorithm

Chapter 3: Simulated annealing

Chapter 4: Evolutionary algorithm

Chapter 5: Swarm behaviour

Chapter 6: Evolutionary computation

Chapter 7: Particle swarm optimization

Chapter 8: Boids

Chapter 9: Ant colony optimization algorithms

Chapter 10: Metaheuristic

Chapter 11: Marco Dorigo

Chapter 12: Stochastic diffusion search

Chapter 13: Cultural algorithm

Chapter 14: Parallel metaheuristic

Chapter 15: Hyper-heuristic

Chapter 16: Ant robotics

Chapter 17: Cuckoo search

Chapter 18: Meta-optimization

Chapter 19: Glossary of artificial intelligence

Chapter 20: List of metaphor-based metaheuristics

Chapter 21: Table of metaheuristics

(II) Answering the public top questions about swarm intelligence.

(III) Real world examples for the usage of swarm intelligence in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of swarm intelligence' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of swarm intelligence.