The Hierarchical Fair Competition (HFC) Model for Parallel Evolutionary Algorithms

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@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",
• DOI = "doi:10.1109/CEC.2002.1006208",
• 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, 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",
• 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