Methods to Evolve Legal Phenotypes

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{TinaYu:1998:melpLB,

• author = "Tina Yu and Peter Bentley",
• title = "Methods to Evolve Legal Phenotypes",
• booktitle = "Late Breaking Papers at the Genetic Programming 1998 Conference",
• year = "1998",
• editor = "John R. Koza",
• pages = "242--249",
• address = "University of Wisconsin, Madison, Wisconsin, USA",
• publisher_address = "Stanford, CA, USA",
• month = "22-25 " # jul,
• publisher = "Stanford University Bookstore",
• keywords = "genetic algorithms, genetic programming",
• size = "8 pages",
• abstract = "Many optimisation problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints can be enforced in many different ways to ensure that legal solutions (phenotypes) are evolved. We have identified eleven ways to handle constraints within various stages of an evolutionary algorithm. Five of these methods are experimented on a run-time error constraint in a Genetic Programming system. The results are compared and analysed.",
• notes = "GP-98LB see also \cite{TinaYu:1998:melp}",

}

Genetic Programming entries for Tina Yu Peter J Bentley

Citations