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CIIE 2014 : 2014 International Conference on Computational Intelligence and Industrial Engineering

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Link: http://www.ciie-conf.com/
 
When Jul 29, 2014 - Jul 30, 2014
Where Shenzhen, China
Abstract Registration Due Apr 30, 2014
Submission Deadline Apr 2, 2014
Notification Due Apr 15, 2014
Final Version Due Apr 30, 2014
Categories    artificial intelligence   computer science   computational intelligence   industrial engineering
 

Call For Papers

2014 International Conference on Computational Intelligence and Industrial Engineering (CIIE 2014) will be held on July 29-30, 2014,Shenzhen, China

CIIE 2014 will be the most comprehensive conference focused on the various aspects of advances in Computational Intelligence and Industrial Engineering. Our conference provides a chance for academic and industry professionals to discuss recent progress in the area of Computational Intelligence and Industrial Engineering.

The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Computational Intelligence and Industrial Engineering. The complete list of topics are updating. Please check the Call for Papers section.

CIIE 2014 will be published in WIT Transactions on Engineering Sciences (ISSN: 1743-3533), which will be indexed by EI Compendex and ISTP.

CIIE 2014 将被WIT工程科学出版,并被EI检索,目前,该期刊2013年EI检索正常。

Chapter 1:Computational Intelligence
Brain computer interface
Computational neuroscience
Connectionist theory and cognitive science
Classifier systems
Coevolution and collective behaviour
Cognitive systems and applications
Combinatorial and numerical optimization
Constraint and uncertainty handling
Differential evolution Data mining
Data mining
Embedded neural systems
Evolutionary Computation
Estimation of Distribution Algorithms
Evolutionary computation for bioinformatics
Evolutionary techniques in economics, finance and marketing
Evolvable hardware and software
Evolving neural networks and fuzzy systems
Fuzzy Systems
Fuzzy decision making
Fuzzy pattern recognition
Fuzzy internet and multimedia
Granular computing
Hardware implementation
Hybrid optimisation algorithms
Hybrid intelligent systems
Image and signal processing
Intrusion detection and fault diagnosis
Mathematical modeling of neural systems
Memetic and hybrid algorithms
Multi-objective optimization
Molecular and quantum computing
Neuroinformatics and bioinformatics
Neural Networks
Neurodynamic analysis
Neurodynamic optimization and adaptive dynamic programming
Probabilistic and information-theoretic methods
Pattern recognition
Robotic and control applications
Representation and operators
Supervised, unsupervised and reinforcement learning
Support vector machines and kernel methods
Swarm Intelligence
Theory of evolutionary computation
Time series analysis
Telecommunications
Transportation systems

Chapter 2: Industrial Engineering
Decision Analysis and Methods
E-Business and E-Commerce
Engineering Economy and Cost Analysis
Engineering Education and Training
Global Manufacturing and Management
Healthcare Systems and Management
Human Factors
Information Processing and Engineering
Intelligent Systems
Manufacturing Systems
Management Science and Engineering
Industrial Production and Manufacturing Engineering
Manufacturing Technology and Management
Logistics Engineering
Computer Science and Information Engineering
Traffic and Transportation Engineering
Electrical and Electronics Engineering
Agricultural Engineering
Food Science and Technology
Biotechnology
Environmental Engineering
Energy Engineering
Geology Engineering
Mechanical Engineering
Materials Science and Engineering
Civil and Architectural Engineering
Petroleum Engineering
Operations Research
Production Planning and Control
Project Management
Quality Control and Management
Reliability and Maintenance Engineering
Safety, Security and Risk Management
Service Innovation and Management
Supply Chain Management
Systems Modeling and Simulation
Technology and Knowledge Management
Other related Applied Sciences and Engineering fields

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