Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors

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

@InCollection{Soule:2006:GPTP,

• author = "Terence Soule and Pavankumarreddy Komireddy",
• title = "Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors",
• booktitle = "Genetic Programming Theory and Practice {IV}",
• year = "2006",
• editor = "Rick L. Riolo and Terence Soule and Bill Worzel",
• volume = "5",
• series = "Genetic and Evolutionary Computation",
• pages = "79--95",
• address = "Ann Arbor",
• month = "11-13 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-387-33375-4",
• DOI = "doi:10.1007/978-0-387-49650-4_6",
• abstract = "Several general evolutionary approaches have proven quite successful at evolving teams (or ensembles) consisting of cooperating team members. However, in this paper we demonstrate that the existing approaches have subtle, but significant, weaknesses. We then present a novel class of evolutionary algorithms (orthogonal evolution of teams (OET)) for evolving teams that overcomes these weaknesses. Specifically it is shown that a typical algorithm from the OET class of algorithms successfully generates team members that have fitnesses comparable to those evolved independently and that have inversely correlated errors, which maximises the teams' overall performance. Finally it is shown that the OET approach performs significantly better than the standard evolutionary approaches.",
• notes = "part of \cite{Riolo:2006:GPTP} Published Jan 2007 after the workshop",

}

Genetic Programming entries for Terence Soule Pavankumarreddy Komireddy

Citations