Genetic Programming Bibliography entries for Wei-Po Lee

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GP coauthors/coeditors: John Hallam, Henrik Hautop Lund, Kung-Cheng Yang,

Genetic Programming Articles by Wei-Po Lee

• Wei-Po Lee and Kung-Cheng Yang. Applying Intelligent Computing Techniques to Modeling Biological Networks from Expression Data. Genomics, Proteomics \& Bioinformatics, 6(2):111-120, 2008. details

• Wei-Po Lee and John Hallam. Evolving reliable and robust controllers for real robots by genetic programming. Soft Computing -- A Fusion of Foundations, Methodologies and Applications, 3(2):63-75, 1999. details

• Wei-Po Lee. Evolving complex robot behaviors. Information Sciences, 121(1-2):1-25, 1999. details

Genetic Programming PhD doctoral thesis Wei-Po Lee

• Wei-Po Lee. Evolving Robots: from Simple Behaviours to Complete Systems. PhD thesis, Department of Artificial Intelligence. University of Edinburgh, UK, 1997. details

Genetic Programming conference papers by Wei-Po Lee

1. Wei-Po Lee and John Hallam and Henrik Hautop Lund. Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition. In Andreas Birk and John Demiris editors, Learning Robots, 6th European Workshop, EWLR-6, Proceedings, volume 1545, pages 155-172, Hotel Metropole, Brighton, UK, 1997. Springer Verlag. details

2. Wei-Po Lee and John Hallam and Henrik Hautop Lund. Learning Complex Robot Behaviours by Evolutionary Approaches. In Andreas Birk and John Demiris editors, 6th European Workshop on Learning Robots, EWLR-6, pages 42-51, Hotel Metropole, Brighton, UK, 1997. details

3. Wei-Po Lee and John Hallam and Henrik Hautop Lund. Applying Genetic Programming to Evolve Behavior Primitives and Arbitrators for Mobile Robots. In Proceedings of IEEE 4th International Conference on Evolutionary Computation, volume 1, pages 501-506, Indianapolis, USA, 1997. IEEE Press. details

4. Wei-Po Lee and John Hallam and Henrik Hautop Lund. A Hybrid GP/GA Approach for Co-evolving Controllers and Robot Bodies to Achieve Fitness-Specified Tasks. In Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, pages 384-389, Nagoya, Japan, 1996. IEEE Press. details