The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions
Created by W.Langdon from
gp-bibliography.bib Revision:1.8187
- @InProceedings{bruce:1997:lprsbGPADF,
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author = "Wilker Shane Bruce",
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title = "The Lawnmower Problem Revisited: Stack-Based Genetic
Programming and Automatically Defined Functions",
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booktitle = "Genetic Programming 1997: Proceedings of the Second
Annual Conference",
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editor = "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
David B. Fogel and Max Garzon and Hitoshi Iba and
Rick L. Riolo",
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year = "1997",
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month = "13-16 " # jul,
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pages = "52--57",
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address = "Stanford University, CA, USA",
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publisher_address = "San Francisco, CA, USA",
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming, ADF",
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broken = "http://www.scis.nova.edu/~brucews/PUBLICATIONS/gp-97.ps",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/12859/http:zSzzSzwww.scis.nova.eduzSz~brucewszSzPUBLICATIONSzSzgp97.pdf/bruce97lawnmower.pdf",
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URL = "http://citeseer.ist.psu.edu/bruce97lawnmower.html",
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size = "6 pages",
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abstract = "Stack-based genetic programming is an alternative to
Koza-style tree-based genetic programming that
generates linear programs that are executed on a
virtual machine using a FORTH-style operand stack
instead of tree-based function calls. A stack-based
genetic programming system was extended to include the
ability to generate programs containing automatically
defined functions. Experiments were run to test the
system using Koza's lawnmower problem. The stack-based
system using automatically...",
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notes = "GP-97 Zero fitness if attempts to pop empty stack.
LEFT primitive removed from population. ARG0 never in
best best of run. 'SBGP required significantly more
search than tree-based GP' 'comparisons ... may be
problem dependant'. 'In both systems [GP and SBGP] the
use of ADFs appreciably improved the ability of the GP
system to quickly find a solution to the [lawn mower]
problem.' failure of SBGP without ADFs to solve 8x12
'is most probably due to our limit of a maximium of 256
elements in a solution'.",
- }
Genetic Programming entries for
Wilker Shane Bruce
Citations