Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{hu:2002:thfcmfpea,
author = "Jianjun Hu and Erik D. Goodman",
title = "The Hierarchical Fair Competition ({HFC}) Model for
Parallel Evolutionary Algorithms",
booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
pages = "49--54",
year = "2002",
publisher = "IEEE Press",
publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
ISBN = "0-7803-7278-6",
URL = "
http://garage.cse.msu.edu/papers/GARAGe02-05-01.pdf",
month = "12-17 " # may,
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)",
keywords = "genetic algorithms, genetic programming",
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