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BIC-TA 2013 : 8th International Conference on Bio-Inspired Computing: Theories and ApplicationsConference Series : Bio-Inspired Computing: Theories and Applications | |||||||||||||||
Link: http://bicta2013.aust.edu.cn | |||||||||||||||
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Call For Papers | |||||||||||||||
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 eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2013) is being organised and hosted in China by Anhui University of Science and Technology , 12th to 14th July, 2013. BIC-TA 2013 aims to provide a high-level international forum for researchers with different backgrounds working in the related areas to present their latest results and exchange ideas.
All accepted papers by the BIC-TA 2013 will be published in the Springer-Verlag journal” Lecture Notes in Computer Science(LNCS)“, which are all indexed by EI-Compendex,some excellent papers will be published in these SCI journals“Applied Mathematics &Information Sciences(SCI)”, “Fuzzy Optimization and Decision Making(SCI)”,”Information(SCI)”. The topics of the conference are as follows (but not limited to): Theories, Methodologies and Experimental Results * Neural Networks. * Evolutionary Computing and Genetic Algorithms. * DNA and Molecular Computing. * Biological Computing. * Swarm Intelligence. * Autonomy-Oriented Computing. * Cellular and Molecular Automata. * Complex Systems. * Computational Neuroscience. * Canonical duality theory and algorithms Applications * Computational Neoroscience. * Artificial Life and Artificial Immune Systems. * Signal Processing and Pattern Recognition. * Data Fusion, Knowledge Discovery and Data Mining. * Expert Systems. * Computer Security. * Computer Vision. * DNA Nanotechnology. * Web and Networks. * Multi-Objective Optimization. * Bioinformatics and Cheminformatics. * Parallel Computing. * Natural Language Processing. * Machine Learning and Decision Science. |
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