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[交流] 【EI检索】第八届遗传及进化计算国际会议(Springer出版,学校承办)

会议城市:

南昌

是否Ei/ISTP收录:

Ei收录

截稿日期:

2014年6月1日

ICGEC 2014 会议网址：https://icgec.nit.edu.cn/
【2014-6-1】【EI检索】第八届遗传及进化计算国际会议(ICGEC 2014, Springer出版, 学校承办)

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 会议网址：https://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 会议网址：https://icgec.nit.edu.cn/

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