New Pathways in Coevolutionary Computation

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

@InProceedings{Sipper:2019:GPTP,

• author = "Moshe Sipper and Jason H. Moore and Ryan J. Urbanowicz",
• title = "New Pathways in Coevolutionary Computation",
• booktitle = "Genetic Programming Theory and Practice XVII",
• year = "2019",
• editor = "Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel",
• pages = "295--305",
• address = "East Lansing, MI, USA",
• month = "16-19 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Evolutionary computation, Coevolution, Novelty search, Robotics, Evolutionary art, Multiobjective optimization, Objective function",
• isbn13 = "978-3-030-39957-3",
• DOI = "doi:10.1007/978-3-030-39958-0_15",
• abstract = "The simultaneous evolution of two or more species with coupled fitness-coevolution, has been put to good use in the field of evolutionary computation. Herein, we present two new forms of coevolutionary algorithms, which we have recently designed and applied with success. OMNIREP is a cooperative coevolutionary algorithm that discovers both a representation and an encoding for solving a particular problem of interest. SAFE is a commensalistic coevolutionary algorithm that maintains two coevolving populations: a population of candidate solutions and a population of candidate objective functions needed to measure solution quality during evolution.",
• notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the workshop",

}

Genetic Programming entries for Moshe Sipper Jason H Moore Ryan J Urbanowicz

Citations