Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 [electronic resource] /
edited by Zhixiang Yin, Linqiang Pan, Xianwen Fang.
- XXII, 1265 p. 428 illus. online resource.
- Advances in Intelligent Systems and Computing, 212 2194-5357 ; .
- Advances in Intelligent Systems and Computing, 212 .
International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world’s leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.
9783642375026
10.1007/978-3-642-37502-6 doi
Computer science.
Artificial intelligence.
Bioinformatics.
Evolutionary biology.
Neural networks (Computer science).
Applied mathematics.
Engineering mathematics.
Computer Science.
Computational Biology/Bioinformatics.
Evolutionary Biology.
Appl.Mathematics/Computational Methods of Engineering.
Mathematical Models of Cognitive Processes and Neural Networks.
Artificial Intelligence (incl. Robotics).
QH324.2-324.25
570.285
International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world’s leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.
9783642375026
10.1007/978-3-642-37502-6 doi
Computer science.
Artificial intelligence.
Bioinformatics.
Evolutionary biology.
Neural networks (Computer science).
Applied mathematics.
Engineering mathematics.
Computer Science.
Computational Biology/Bioinformatics.
Evolutionary Biology.
Appl.Mathematics/Computational Methods of Engineering.
Mathematical Models of Cognitive Processes and Neural Networks.
Artificial Intelligence (incl. Robotics).
QH324.2-324.25
570.285