HFC: A Continuing EA Framework for Scalable Evolutionary Synthesis

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Jianjun-Hu:2003:AAAI,

• author = "Jianjun Hu and Erik D. Goodman and Kisung Seo and Zhun Fan and Ronald C. Rosenberg",
• title = "{HFC:} A Continuing {EA} Framework for Scalable Evolutionary Synthesis",
• booktitle = "Proceedings of the 2003 {AAAI} Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality",
• year = "2003",
• pages = "106--113",
• address = "Stanford, California",
• publisher_address = "445 Burgess Drive. Menlo park, CA, 94025, USA",
• publisher = "AAAI press",
• month = "24" # Mar,
• organisation = "AAAI",
• email = "hujianju@msu.edu, goodman@egr.msu.edu",
• keywords = "genetic algorithms, genetic programming, scalability, sustainability, HFC",
• URL = "http://www-rcf.usc.edu/~jianjunh/paper/stanford_hfc.pdf",
• abstract = "The scalability of evolutionary synthesis is impeded by its characteristic discrete landscape with high multimodality. It is also impaired by the convergent nature of conventional EAs. A generic framework, called Hierarchical Fair Competition (HFC), is proposed for formulation of continuing evolutionary algorithms. This framework features a hierarchical organisation of individuals by different fitness levels. By maintaining repositories of intermediate-fitness individuals and ensuring a continuous supply of raw genetic material into an environment in which it can be exploited, HFC is able to transform the convergent nature of current EAs into a sustainable evolutionary search framework. It is also well suited for the special demands of scalable evolutionary synthesis. An analog circuit synthesis problem, the eigenvalue placement problem, is used as an illustrative case study.",

}

Genetic Programming entries for Jianjun Hu Erik Goodman Kisung Seo Zhun Fan Ronald C Rosenberg

Citations