A Hard Problem for Genetic Algorithms: Finding Cliques in Keller Graphs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{marconi:1998:hpGAfckg,
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author = "Jamie Marconi and James A. Foster",
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title = "A Hard Problem for Genetic Algorithms: Finding Cliques
in Keller Graphs",
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booktitle = "Proceedings of the 1998 IEEE World Congress on
Computational Intelligence",
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year = "1998",
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pages = "650--655",
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address = "Anchorage, Alaska, USA",
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month = "5-9 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Keller
conjecture, Keller graphs, maximum clique, hardness,
complexity, edge density, hard problem, hybrid genetic
algorithm, maximum clique finding, small diameter,
uniformity, computational complexity, graph theory",
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ISBN = "0-7803-4869-9",
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file = "c112.pdf",
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DOI = "doi:10.1109/ICEC.1998.700116",
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size = "6 pages",
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abstract = "We present evidence that finding the maximum clique in
Keller graphs is an example of a family of problems
which are both natural and inherently difficult for
genetic algorithms. Specifically, we employ a hybrid
genetic algorithm to find the largest clique in Keller
graphs. We present theoretical reasons why this problem
is likely to be particularly hard for this family of
graphs. Our results confirm this suspicion. We then
discuss several characteristics of this graph family
which confound genetic algorithms: its uniformity, edge
density and small diameter.",
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notes = "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
World Congress on Computational Intelligence",
- }
Genetic Programming entries for
Jamie Marconi
James A Foster
Citations