<b>What Is Swarm Intelligence</b><br />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 &quot;cellular robotic systems&quot; in connection with their respective fields of study.<br /><b>How You Will Benefit</b><br />(I) Insights, and validations about the following topics:<br />Chapter 1: Swarm intelligence<br />Chapter 2: Genetic algorithm<br />Chapter 3: Simulated annealing<br />Chapter 4: Evolutionary algorithm<br />Chapter 5: Swarm behaviour<br />Chapter 6: Evolutionary computation<br />Chapter 7: Particle swarm optimization<br />Chapter 8: Boids<br />Chapter 9: Ant colony optimization algorithms<br />Chapter 10: Metaheuristic<br />Chapter 11: Marco Dorigo<br />Chapter 12: Stochastic diffusion search<br />Chapter 13: Cultural algorithm<br />Chapter 14: Parallel metaheuristic<br />Chapter 15: Hyper-heuristic<br />Chapter 16: Ant robotics<br />Chapter 17: Cuckoo search<br />Chapter 18: Meta-optimization<br />Chapter 19: Glossary of artificial intelligence<br />Chapter 20: List of metaphor-based metaheuristics<br />Chapter 21: Table of metaheuristics<br />(II) Answering the public top questions about swarm intelligence.<br />(III) Real world examples for the usage of swarm intelligence in many fields.<br />(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of swarm intelligence&#39; technologies.<br /><b>Who This Book Is For</b><br />Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of swarm intelligence.