Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search
Created by W.Langdon from
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- @InProceedings{conf/tpnc/UrbanoNT14,
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author = "Paulo Urbano and Enrique Naredo and
Leonardo Trujillo",
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title = "Generalization in Maze Navigation Using Grammatical
Evolution and Novelty Search",
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booktitle = "Third International Conference on Theory and Practice
of Natural Computing, TPNC 2014",
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year = "2014",
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editor = "Adrian Horia Dediu and Manuel Lozano and
Carlos Martin-Vide",
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volume = "8890",
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series = "Lecture Notes in Computer Science",
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pages = "35--46",
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address = "Granada, Spain",
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month = dec # " 9-11",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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bibdate = "2014-12-05",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/tpnc/tpnc2014.html#UrbanoNT14",
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isbn13 = "978-3-319-13748-3",
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URL = "https://rdcu.be/dHi36",
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URL = "http://dx.doi.org/10.1007/978-3-319-13749-0",
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DOI = "doi:10.1007/978-3-319-13749-0_4",
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size = "12 pages",
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abstract = "Recent research on evolutionary algorithms has begun
to focus on the issue of generalization. While most
works emphasize the evolution of high quality solutions
for particular problem instances, others are addressing
the issue of evolving solutions that can generalize in
different scenarios, which is also the focus of the
present paper. we compare fitness-based search, Novelty
Search (NS), and random search in a set of
generalization oriented experiments in a maze
navigation problem using Grammatical Evolution (GE), a
variant of Genetic Programming. Experimental results
suggest that NS outperforms the other search methods in
terms of evolving general navigation behaviours that
are able to cope with different initial conditions
within a static deceptive maze.",
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notes = "LabMAg, Universidade de Lisboa, 1749-016, Lisbon,
Portugal",
- }
Genetic Programming entries for
Paulo Urbano
Enrique Naredo
Leonardo Trujillo
Citations