It is time for new perspectives on how to fight bloat in GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Fernandez:2019:GPTP,

• author = "Francisco {Fernandez de Vega} and Gustavo Olague and Francisco Chavez and Daniel Lanza and Wolfgang Banzhaf and Erik Goodman",
• title = "It is time for new perspectives on how to fight bloat in {GP}",
• 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 = "25--38",
• address = "East Lansing, MI, USA",
• month = "16-19 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-030-39957-3",
• URL = "https://arxiv.org/abs/2005.00603",
• DOI = "doi:10.1007/978-3-030-39958-0_2",
• abstract = "The present and future of evolutionary algorithms depends on the proper use of modern parallel and distributed computing infrastructures. Although still sequential approaches dominate the landscape, available multi-core, many-core and distributed systems will make users and researchers to more frequently deploy parallel version of the algorithms. In such a scenario, new possibilities arise regarding the time saved when parallel evaluation of individuals are performed. And this time saving is particularly relevant in Genetic Programming. This paper studies how evaluation time influences not only time to solution in parallel/distributed systems, but may also affect size evolution of individuals in the population, and eventually will reduce the bloat phenomenon GP features. This paper considers time and space as two sides of a single coin when devising a more natural method for fighting bloat. This new perspective allows us to understand that new methods for bloat control can be derived, and the first of such a method is described and tested. Experimental data confirms the strength of the approach: using computing time as a measure of individuals complexity allows to control the growth in size of genetic programming individuals.",
• notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the workshop",

}

Genetic Programming entries for Francisco Fernandez de Vega Gustavo Olague Francisco Chavez de la O Daniel Lanza Garcia Wolfgang Banzhaf Erik Goodman

Citations