TY - CHAP A1 - Hong Zhang ED1 - Rafael Parpinelli ED2 - Heitor S. Lopes Y1 - 2012-03-16 PY - 2012 T1 - The Pursuit of Evolutionary Particle Swarm Optimization N2 - The field of research that studies the emergent collective intelligence of self-organized and decentralized simple agents is referred to as Swarm Intelligence. It is based on social behavior that can be observed in nature, such as flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. The computer science community have already learned about the importance of emergent behaviors for complex problem solving. Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence. BT - Theory and New Applications of Swarm Intelligence SP - Ch. 4 UR - https://doi.org/10.5772/31785 DO - 10.5772/31785 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-09-21 ER -