Self-organization is a universal mechanism in nature. In the past thirty years, numerous phenomena, theories and methods on self-organization have been founded around the world. This book presents recent achievements in theories and methods of self-organization and includes such theories and methods of self-organization as ant algorithms, particle swarm algorithms, artificial neural networks, motion and migration algorithms, self-adaptive Kalman Filters, finite state approximations, etc. Chapters are contributed by more than 20 scientists from China, Italy, Spain, Japan, Russia, Serbia, India, and Turkey, in the areas of mathematics, computational science, artificial intelligence, aeronautics and astronautics, automation and control, and life sciences. It will provide researchers with various aspects of the latest advances in self-organization. It is a valuable reference for scientists, university teachers and graduate students in mathematics, natural science, engineering science, and social science.
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