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ICGEC 2014 »áÒéÍøÖ·£ºhttps://icgec.nit.edu.cn/ ¡¾2014-6-1¡¿¡¾EI¼ìË÷¡¿µÚ°Ë½ìÒÅ´«¼°½ø»¯¼ÆËã¹ú¼Ê»áÒé(ICGEC 2014, Springer³ö°æ, ѧУ³Ð°ì) ¡¾Äϲý¹¤³ÌѧԺ³Ð°ì¡¿ Important Dates Submission Date: June 1, 2014 Acceptance Date: July 1, 2014 Registration and Final version Date: August 1, 2014 ICGEC 2014 is the 8th International Conference on Genetic and Evolutionary Computing. This conference is technically cosponsored by Springer, Nanchang Institute of Technology, Kaohsiung University of Applied Science in Taiwan, and VSB-Technical University of Ostrava. ICGEC 2014 will be held from 18-20 October 2014 in Nanchang, China. Nanchang is one of is the capital of Jiangxi Province in southeastern China, located in the north-central portion of the province. As it is bounded on the west by the Jiuling Mountains, and on the east by Poyang Lake, it is famous for its scenery, rich history and cultural sites. Because of its central location relative to the Yangtze and Pearl River Delta regions, it is a major railroad hub in Southern China. ICGEC 2014 »áÒéÍøÖ·£ºhttps://icgec.nit.edu.cn/ The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. Proceedings of ICGEC 2014 will be published in Springer series Advances in Intelligent and Soft Computing. It is normally indexed by ISI Proceedings, DBLP, Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, and Springerlink. Selected good papers will be invited to submit their extended versions to Journal of Information Hiding and Multimedia Signal Processing and Journal of Computers. The ICGEC 2014 organizing committee is inviting the submission of papers that present high quality, original, and not previously published work in the related areas. All submissions will be thoroughly peer-reviewed by multiple reviewers to ensure quality and unbiased comments. Paper acceptance and publication will be judged on the basis of their relevance to the conference themes, clarity of presentation, originality and accuracy of results and proposed solutions. Topics include, but are not limited to: Track I: Genetic Computing Genetic Algorithm & Programming Generative and Developmental Systems Genetics-Based Machine Learning and Learning Classifier Systems Empirical studies of genetic programming performance and behavior Hybrid architectures including genetic programming components Track II: Evolutionary Computing Evolutionary Design & Application Evolutionary of tree or graph structures Evolutionary of various classes of automata or machine Evolutionary Combinatorial & Multi-Objective Optimization Evolutionary Strategies, Evolutionary Programming Evolutionary Scheduling and Routing Bioinformatics and Computational Biology Track III: Intelligent Computing Swarm Intelligence and Optimization Ant Colony Optimization and Swarm Intelligence Artificial Immune Systems Artificial Intelligence and Decision Support Systems Intelligent Information Fusion and Data Mining Intelligent Database Systems Knowledge Discovery and Management Neural Networks and its Applications Pattern Recognition and Self-Adaptation Techniques Intelligent Computer Vision & Scientific Visualization Track IV: Grid Computing Grid Resource Management and Task Schedule Grid Trust and Security Distributed and Parallel Computing Distributed Intelligent Processing Peer-to-Peer Architecture Track V: Multimedia Computing Image and Video Processing Signal Processing Other Applications ICGEC 2014 »áÒéÍøÖ·£ºhttps://icgec.nit.edu.cn/ [ Last edited by wanghuicug on 2014-5-17 at 17:42 ] |
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