The Hierarchical Fair Competition (HFC) Model for Parallel Evolutionary Algorithms
Created by W.Langdon from
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- @InProceedings{hu:2002:thfcmfpea,
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author = "Jianjun Hu and Erik D. Goodman",
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title = "The Hierarchical Fair Competition (HFC) Model for
Parallel Evolutionary Algorithms",
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booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
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editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
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pages = "49--54",
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year = "2002",
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publisher = "IEEE Press",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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ISBN = "0-7803-7278-6",
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URL = "http://garage.cse.msu.edu/papers/GARAGe02-05-01.pdf",
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DOI = "doi:10.1109/CEC.2002.1006208",
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month = "12-17 " # may,
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notes = "CEC 2002 - A joint meeting of the IEEE, the
Evolutionary Programming Society, and the IEE. Held in
connection with the World Congress on Computational
Intelligence (WCCI 2002)",
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keywords = "genetic algorithms, genetic programming, HFC model,
biology, evolutionary computation, fitness-based
admission threshold, hierarchical fair competition
model, higher-fitness subpopulations, low-fitness
subpopulations, parallel evolutionary algorithms,
premature convergence, society, stratified competition,
biology, convergence, evolutionary computation,
parallel algorithms",
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abstract = "The HFC model for evolutionary computation is inspired
by the stratified competition often seen in society and
biology. Subpopulations are stratified by fitness.
Individuals move from low-fitness subpopulations to
higher-fitness subpopulations if and only if they
exceed the fitness-based admission threshold of the
receiving subpopulation, but not of a higher one. HFC's
balanced exploration and exploitation, while avoiding
premature convergence, is shown on a genetic
programming example.",
- }
Genetic Programming entries for
Jianjun Hu
Erik Goodman
Citations