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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.
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.
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