- author = "W. F. Punch and W. M. Rand",
- title = "GP+Echo+Subsumption = Improved Problem Solving",
- pages = "411--418",
- year = "2000",
- publisher = "Morgan Kaufmann",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)",
- editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
- address = "Las Vegas, Nevada, USA",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "10-12 " # jul,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-55860-708-0",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2000/GP101.pdf",
-
URL = "http://garage.cse.msu.edu/papers/GARAGe00-07-02.pdf",
-
URL = "
http://citeseer.ist.psu.edu/447316.html",
- abstract = "Real-time, adaptive control is a difficult problem that can be addressed by EC architectures. We are interested in incorporating into an EC architecture some of the features that Holland's Echo architecture presents. Echo has been used to model everything from cultures to financial markets and many things in-between. However, the typical application of Echo is a simulation to observe the dynamics of the modeled elements such as found in control problems. We show in this paper that some aspects of Echo can be incorporated into Genetic Programming to solve control problems. The paper discusses EAGP (Echo Augmented Genetic Programming), a modified GP architecture that uses aspects of Echo, and subsumption. We demonstrate the usefulness of EAGP on a robot navigation problem.",
-
notes = "A joint meeting of the ninth International Conference
on Genetic Algorithms (ICGA-2000) and the fifth Annual
Genetic Programming Conference (GP-2000) Part of
\cite{whitley:2000:GECCO}
14 Oct 2004 online GARAGe00-07-02.pdf 3 page version corrupted (still broken 27 Oct 2005)",
