ICANNGA 2007 - 2nd International Conference on Adaptive and Natural Computing Algorithms (ICANNGA 2007)

The ICANNGA series of international conferences has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community. Starting in 1993, it has established itself as a reference for scientists and researchers in this area. The series has also been of value to young researchers wishing not only to extend their knowledge and experience but also to have a chance to meet specialists in their fields. The 2007 Conference, eighth in the ICANNGA series, will take place at the Warsaw University of Technology in Poland, combining regular and special sessions as well as plenary lectures by renowned scientists, with tutorials and workshop panels.

TOPICS

Contributions are sought in the following topic areas (the list is not exhaustive):

Neural Networks: architectures, algorithms, approximation, complexity, associative memory, biological foundations, computational neuroscience, neurodynamics, neurocognition.
Learning: kernel methods, support vector machines, supervised and unsupervised learning, reinforcement learning, bayesian learning.
Evolutionary Computation: genetic algorithms, genetic programming, multi-objective optimization, biological computation, classifier systems, artificial life, artificial immune systems, evolution strategies, ant colony optimization, particle swarm optimization, swarm intelligence, evolvable hardware.
Soft Computing: fuzzy systems, rough systems, uncertain systems, hybrid systems, neuro-fuzzy controllers, embedded computing for intelligent systems, random search methods, probabilistic computing, chaotic computing, symbolic computing.
Bioinformatics and Computational Biology: molecular computing, DNA computing, bioinformatics databases, computational genomics, computational proteomics, clustering, mapping gene expression and micro arrays, gene identification and annotation, molecular evolution, molecular sequence analysis, protein structure, protein classification.
Quantum Computing: quantum control, supercomputing, autonomic computing,
Applications: medicine, environment, quantitative socio-dynamics, pattern recognition, classification, signal processing, control, simulation, robotics, diagnostics, transport, defense, security, power systems, finance and business, data mining and intelligent databases, speech recognition and natural language processing, image processing and computer vision, real-time computational intelligence and games, grid computing, biometrics.
PROCEEDINGS

Accepted papers will be included in the Proceedings published by Springer-Verlag in the series Lecture Notes in Computer Science (LNCS).