Self-organization: Theories and Methods


WenJun Zhang (Editor)
Sun Yat-sen University, Guangzhou, China

Series: Mathematics Research Developments, Computational Mathematics and Analysis
BISAC: MAT034000

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. (Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. An Overview on Theories and Methods of Self-organization
(WenJun Zhang, Sun Yat-sen University, Guangzhou, China, and others)

Chapter 2. An Ant Colony Optimization Based Approach of Feature Selection for Efficient Classification of Very Small Datasets by Mining Patterns
(N.K. Sreeja and A. Sankar, Sri Krishna College of Technology, India, and others)

Chapter 3. Self-organization and Task Allocation: An Application to Ant Algorithms
(Jose B. Escario, Juan F. Jimenez and Jose M. Giron-Sierra, Department of Arquitectura de Computadores y Automatica,
Universidad Complutense, Madrid, Spain)

Chapter 4. The Generalized Particle Swarm Optimization Algorithm with Application Examples
(Zeljko S. Kanovic, Milan R. Rapaic, Zoran D. Jelicic, Milan J. Rackov, Mirna N. Kapetina and Jelena T. Atanackovic-Jelicic, Faculty of Technical Sciences, Novi Sad, Serbia)

Chapter 5. Weights and Structure Determination of Artificial Neuronets
(Yunong Zhang, Xiaotian Yu, Lin Xiao, Weibing Li and Zhengping Fan, School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China)

Chapter 6. Low-dimensional Structures Embedded in Human Locomotion: Data Analysis and Modeling
(Shinya Aoi, Dept. of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan, and others)

Chapter 7. Self-organization in Motion of a Set of Living Individuals
(Milovan Zivanovic and Ivan Stojkovic, Digital Control Systems Oziris, Sopot, Serbia, and others)

Chapter 8. A Cellular Automata Method for Species Migration Process In Heterogeneous Environment
(WenJun Zhang, YanHong Qi and ZhiGuo ZhangSun Yat-sen University, Guangzhou, China and others)

Chapter 9. Robust Self-adaptive Kalman Filter with the R and Q Adaptations against Sensor/Actuator Failures
(Chingiz Hajiyev and Halil Ersin Soken, Istanbul Technical University, Aeronautics and Astronautics Faculty, Istanbul, Turkey, and others)

Chapter 10. Regular Approximation of the Stochastic Pushdown Calculus
(Marco Carpentieri, Dipartimento di Matematica ed Informatica,
Universitá della Basilicata, Potenza (Pz), Italy)


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