Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8344

@InProceedings{hu:2002:gecco,

• author = "Jianjun Hu and Erik D. Goodman and Kisung Seo and Min Pei",
• title = "Adaptive Hierarchical Fair Competition ({AHFC}) Model For Parallel Evolutionary Algorithms",
• booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
• editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
• year = "2002",
• pages = "772--779",
• address = "New York",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "9-13 " # jul,
• publisher = "Morgan Kaufmann Publishers",
• keywords = "genetic algorithms, genetic programming, adaptive evolutionary algorithm, fair competition principle, hierarchical topology, parallel evolutionary algorithms, premature convergence",
• ISBN = "1-55860-878-8",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/GP195.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
• size = "8 pages",
• abstract = "The HFC model for parallel evolutionary computation is inspired by the stratified competition often seen in society and biology. Subpopulations are stratified by fitness. Individuals move from low-fitness 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. The HFC model implements several critical features of a competent parallel evolutionary computation model, simultaneously and naturally, allowing rapid exploitation while impeding premature convergence. The AHFC model is an adaptive version of HFC, extending it by allowing the admission thresholds of fitness levels to be determined dynamically by the evolution process itself. The effectiveness of the Adaptive HFC model is compared with the HFC model on a genetic programming-based evolutionary synthesis example.",
• notes = "GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)",

}

Genetic Programming entries for Jianjun Hu Erik Goodman Kisung Seo Min Pei

Citations