Fundamentals of Computational Swarm Intelligence covers the very new computational paradigm of Swarm Intelligence, a field that started from biological research, and is now picking up momentum within the research community. Real-world applications of SI include: power engineering, industrial engineering, mechanical engineering, systems engineering, design automation, and aerospace engineering. The book has six parts, each covering a specific topic. The Social Metaphor focuses on how social network structures are used to exchange information among individuals, and how the aggregate behavior of these individuals forms a powerful organism. Part II introduces the formal theory of optimization. Evolutionary Computation outlines paradigms with relations to Swarm Intelligence, including genetic algorithms, evolutionary programming, evolutionary strategies, cultural algorithms, and co-evolution. Particle Swarm Optimization (PSO) looks at the choreographic movements of birds in a flock as a basis for the PSO algorithms models.
Social Insects focuses on the applications of ant colony optimization (ACO) to real-world problems, including routing optimization in communications networks, structure optimization, truss optimization, data mining, data clustering, and many more. The last part covers methods of empirical research.
Prof Andries P. Engelbrecht, Computational Intelligence Research Group, Department of Computer Science, School of Information Technology, University of Pretoria, Pretoria 0002, South Africa
His areas of expertise include: artificial neural networks, swarm intelligence, evolutionary computation, data mining and artificial immune systems. He has been active in this area since 1994 and he is one of the few people in the field leading a very active research group in Swarm Intelligence, specifically in Particle Swarm Optimization (PSO). Particularly he is currently developing a number of new PSO approaches which are unique contributions to the field. His research group has produced about 15% of the total number of articles on PSO.