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IEEE World Congress on Computational Intelligence WCCI 2010, July 18-23 2010, Spain

The 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010) is the largest technical event in the field of computational intelligence. It will host three conferences: the 2010 International Joint Conference on Neural Networks (IJCNN 2010), the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), and the 2010 IEEE Congress on Evolutionary Computation (IEEE CEC 2010). IEEE WCCI 2010 will be held in Barcelona, a Mediterranean city located in a privileged position on the northeastern coast of Spain. Barcelona combines history, art, architecture, and charm within a pleasant, and efficient urban environment where meet old friends, and make new ones. The congress will provide a stimulating forum for scientists, engineers, educators, and students from all over the world to discuss and present their research findings on computational intelligence.

Call For Papers

Prospective authors are invited to contribute high-quality papers to IEEE WCCI 2010. All papers should be submitted electronically through the Congress website (http://www.wcci2010.org/submission). Contributed papers will be refereed by experts in the fields based on the criteria of originality, significance, quality and clarity.

For general inquiries, please contact General Chair Pilar Sobrevilla at pilar.sobrevilla@upc.edu This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

For program inquiries, contact Conference Chairs:

- IJCNN 2010: Alberto Prieto at aprieto@ugr.es This e-mail address is being protected from spambots. You need JavaScript enabled to view it
- FUZZ-IEEE 2010: Piero Bonissone at bonissone@research.ge.com This e-mail address is being protected from spambots. You need JavaScript enabled to view it
- IEEE CEC 2010: Gary Fogel at gfogel@natural-selection.com This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Topics of IJCNN 2010
1.Mathematical and theoretical methods:
Neural dynamics, complex systems, and chaos.
RBF structures.
Self-organizing networks.
Independent Component Analysis (ICA); etc.
Support vector machines and kernel methods.
2.Neurocomputational formulations and models:
Computational neuroscience.
Neurons and networks modeling; etc.
3.Learning and adaptation:
Bayesian models and statistical machine learning methods.
Supervised, unsupervised, and reinforcement algorithms.
Adaptive systems and reconfigurable systems; etc.
4.Connectionist methods in cognitive functions:
Reasoning, decision making, planning.
Consciousness and emotions.
Emergent intelligence.
Perceptual and motor function (visual, auditory, tactile, virtual reality, etc.).
Cognitive and neural robotics.
5.Hybrid systems:
Neuro-fuzzy.
Neuro-evolutionary systems.
Neuro-swarm.
Neural dynamic logic and other methods; etc.
6.Neuro-technologies and neuro-engineering:
Microelectronics for neural and hybrid systems.
Neuromorphic engineering.
Neural prostheses.
Nanocognitive systems; etc.
7.Applications of Artificial Neural Networks:
Data analysis and pre-processing.
Data mining and knowledge discovery.
Signal processing and speech analysis.
Image processing and machine vision.
System identification, process control, and manufacturing.
Time series analysis and prediction.
Human-centric computer interfaces and adaptive interfaces (BCI, etc.).
Ambient Intelligence (AI) and Ambient assisting living (AAL).
Neuroinformatics and bioinformatics.
Web applications.
Robotics.
Other real world applications of ANN.

Topics of FUZZ-IEEE 2010
1.Theory
Fuzzy logic and fuzzy set theory
Lattice theory and multi-valued logic
Approximate reasoning
Type-2 fuzzy logic
Rough sets and random sets
Fuzzy mathematics
Fuzzy measure and integral
Possibility theory and imprecise probability
2.Decision Making & Human Machine Interface
Fuzzy decision making and decision support systems
Fuzzy optimization and design
Fuzzy preference modeling
Fuzzy man-machine interfaces
Fuzzy emotional computing
Fuzzy computing with words
Granular computing
3.Web Applications
Fuzzy systems for agent technology
Fuzzy web intelligence
Fuzzy methods in social networks and games
Fuzzy multimedia processing
4.Informatics & Analytics
Fuzzy databases
Fuzzy document retrieval systems
Fuzzy text mining
Fuzzy systems for natural language processing
Fuzzy information processing
Fuzzy data summarization
Fuzzy and rough data analysis
Fuzzy statistics
Fuzzy data mining and forecasting
5.Engineering & Hardware
Fuzzy systems modelling and identification
Fuzzy control and intelligent systems
Fuzzy systems for robotics
Fuzzy image processing
Fuzzy pattern recognition
Fuzzy clustering
Fuzzy systems architectures and hardware
6.Hybrids & Other Applications
Hybrid fuzzy systems (fuzzy-neuro-evolutionary-rough)
Fuzzy sets in bioinformatics
Medical, financial, industrial and other real world applications
Emerging areas

Topics of IEEE CEC 2010
1.Algorithms:
Ant colony optimization
Artificial immune systems
Coevolutionary systems
Cultural algorithms
Differential evolution
Estimation of distribution algorithms
Evolutionary programming
Evolution strategies
Genetic algorithms
Genetic programming
Heuristics, metaheuristics and hyper-heuristics
Interactive evolutionary computation
Learning classifier systems
Memetic, multi-meme and hybrid algorithms
Molecular and quantum computing
Multi-objective evolutionary algorithms
Parallel and distributed algorithms
Particle swarm optimization
2.Theory and Implementation:
Adaptive dynamic programming and reinforcement learning
Autonomous mental development
Coevolution and collective behavior
Convergence, scalability and complexity analysis
Evolutionary computation theory
Representation and operators
Self-adaptation in evolutionary computation
3.Optimization:
Numerical optimization.
Discrete and combinatorial optimization.
Multiobjective optimization
4.Handling of Various Aspects:
Constraint and uncertainty handling
Dynamic and uncertain environments.
Meta-modeling and surrogate models
Evolutionary simulation-based optimization
Kansei and preference handling.
Large-scale problems.
5.Hybrid Systems of Computational Intelligence:
Evolved neural networks
Evolutionary fuzzy systems
Evolved neuro-fuzzy systems
6.Related Areas and Applications:
Art and music
Artificial ecology and artificial life
Autonomous mental and behavior development
Biometrics, bioinformatics and biomedical applications
Classification, clustering, data analysis and data mining
Data mining
Defense and cyber security
Evolutionary games and multi-agent systems
Evolvable hardware and software
Evolutionary Robotics
Engineering applications
Emergent technologies
Finance and economics
Games
Intelligent systems applications
Robotics
Real-world applications
Emerging areas