The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.

"The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision. TOC:From the contents:

From the contents: Neural Networks: Neural Networks Theory; Learning Theory; Computational Neuroscience and Neurodynamics; Neural Networks in Process Engineering; Neural Networks in Robotics and Control; Clustering and Unsupervised Learning; Self-Organising Maps.- Evolutionary Computation: Evolutionary Computation; Genetic Algorithms Theory; Complex Systems and Genetic Programming; Swarm Optimization; Molecular and Quantum Computing.- Adaptive and Natural Computing: BioInformatics and Computational Biology; Adaptive Technology in AI, Natural Computing.- Soft Computing Applications: Machine Learning and Heuristics; Feature Selection and Kernel Methods, Computer Security.- Computer Vision and Pattern Recognition: Computer Vision and Image Processing; Signal Processing and Pattern Recognition.- Hybrid Methods and Tools: Hybrid Intelligent Systems; High Performance and Parallel Computing Tools