| 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.
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. In a rapidly advancing world, where technology and engineering change dramatically, new challenges in modern informatics compel us to broaden the Conference themes in order to take into account new developments. Nevertheless we have kept the acronym ICANNGA, which now stands for International Conference on Adaptive and Natural ComputiNG Algorithms
It is interesting to note that the themes of this conference have their origins in attempts to obtain understanding of natural processes. Indeed, Nature itself seems capable of providing a source of inspiration both for new research areas and new methodologies. Thus the focus of ICANNGA is on both the theoretical aspects and also on the practical applications of computational paradigms inspired by adaptive and natural processes, with special emphasis on adaptive and machine learning systems, neural networks, evolutionary algorithms, fuzzy systems, support vector machines, biological computation and quantum computing. |
