BIC-TA: Bio-Inspired Computing: Theories and Applications



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Event When Where Deadline
BIC-TA 2013 8th International Conference on Bio-Inspired Computing: Theories and Applications
Jul 12, 2013 - Jul 14, 2013 HuangShan, China Oct 30, 2012
BIC-TA 2012 Bio-Inspired Computing: Theories and Applications
Dec 14, 2012 - Dec 16, 2012 ABV-IIITM Gwalior, India Jul 1, 2012
BIC-TA 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications
Sep 27, 2011 - Sep 29, 2011 Penang, Malaysia Apr 22, 2011
BIC-TA 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications
Sep 8, 2010 - Sep 10, 2010 Liverpool Hope University, Liverpool, UK May 10, 2010

Present CFP : 2013

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


* 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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