Genetic Programming

Baldwin Effect Bibliography
The Baldwin effect, machine learning, genetic algorithms, learning, and evolution in neural networks.

Brandeis - Neuroscience
Molecular neurobiology, developmental neurobiology, behavioral genetics, physiology and biophysics of single nerve cells, learning and memory, computational neurobiology, integration of neural function, cognitive neuroscience, human motor control, neurolinguistics, psychophysics.

Brunel - Artificial Life and Genetic Algorithms

Brunel - Centre for Neural and Evolutionary Systems (CNES)
Development of intelligent systems using neural architectures, genetic algorithms and genetic programming. On-going research projects include evolutionary adaptive neurocontrol, reconfigurable flight control, neural networks and genetic algorithms for engineering problems, and evolutionary algorithms for implementing artificial life.

Carnegie Mellon - Artificial Intelligence Repository
AI Software Packages section includes subdirectories for artificial life and complex adaptive systems, distributed ai, genetic programming, neural networks, and many others.

Genetic Algorithms and Neural Networks (GANN) List
Includes bibliography and technical report providing "a preliminary taxonomy" of Evolutionary Design of Neural Architectures (EDNA). Vasant Honavar.

Genetic Programming
Genetic
programming FAQ, papers archive, online book, mailing list, FTP archive.

Genetic Programming
Resource page for genetic programming researchers, maintained by Adil Qureshi at University College London.

Glasgow - Engineering - Centre for Systems and Control - Technical Reports
Publications on neural networks, genetic algorithms, simulated annealing, nonlinear control systems, fuzzy logic control, robot control, and related topics.

Illinois - Genetic Algorithms Laboratory (IlliGAL)
Technical reports, source code, an order form for journal reprints, and links to other sources of genetic algorithms information. David Goldberg.

Leibniz Laboratory - Systèmes Cognitifs / Cognitive Systems
Cognitive systems - investigation, modelling and implementation of cognitive abilities such as knowledge representation, reasoning, perception, action, learning and language - and interdisciplinary neural networks, probabilistic models and genetic algorithms in robotics and AI, multi-agent systems and other areas.

Limburgs Universitair Centrum (LUC) - Neural Networks Group
Properties of neural networks using techniques from statistical mechanics and information theory. Includes reference database, browser for Neuron Digest and Genetic Algorithms Digest, external links, and events information.

London-University College (UCL) - Intelligent Hybrid Systems
Guide to books, tools and environments, component techniques, bibliography and external links on hybrid systems combining genetic algorithms, fuzzy logic, neural networks and expert systems.

Paris-Ecole Normale Superieure - Groupe de BioInformatique
Animats, neural networks, genetic algorithms, image processing and vision, and links to related sites.

Rochester - Computer Science (URCS) - AI Technical Reports
Planning, knowledge representation, temporal reasoning, discourse, natural language processing, cognitive modelling, genetic algorithms, reinforcement learning, vision, speech recognition, neural networks, supervised and unsupervised learning, embodiment, object recognition and other topics. James Allen, Dana Ballard, Graeme Hirst et al.

Southern California (USC) - Robotics Research Laboratory
Autonomous robotics, biological and artificial neural systems, reinforcement learning, genetic algorithms, robotic and prosthetic hands, design for assembly, and fuzzy control. Affiliated with the Center for Neural Engineering, directed by Michael Arbib.

Stirling - Centre for Cognitive and Computational Neuroscience (CCCN)
Cognitive neuropsychology, genetic algorithms, neural networks, artificial life, visual and auditory perception, perception of music, synaesthesia, and computer vision.

Szeged/Institute of Isotopes of the Hungarian Academy of Sciences - Adaptive Systems
Self-organized artificial neural networks, genetic algorithms, autonomous agents, reinforcement learning, constructive learning, concept learning, biological modelling and analog/mixed VLSI design.

Texas - Austin - Neural Networks Research Group
Natural language processing, schema-based vision, cortical self-organization, episodic memory, decision making, and evolving neural networks with genetic algorithms. Risto Miikkulainen.