Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search

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

@InProceedings{Trujillo:2013:EVOLVE,

• author = "Leonardo Trujillo and Enrique Naredo and Yuliana Martinez",
• title = "Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search",
• booktitle = "EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV",
• year = "2013",
• editor = "Michael Emmerich and Andre Deutz and Oliver Schuetze and Thomas Baeck and Emilia Tantar and Alexandru-Adrian and Pierre {Del Moral} and Pierrick Legrand and Pascal Bouvry and Carlos A. Coello",
• volume = "227",
• series = "Advances in Intelligent Systems and Computing",
• pages = "293--305",
• address = "Leiden, Holland",
• month = jul # " 10-13",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Bloat, Novelty Search",
• isbn13 = "978-3-319-01127-1",
• DOI = "doi:10.1007/978-3-319-01128-8_19",
• abstract = "Bloat is one of the most interesting theoretical problems in genetic programming (GP), and one of the most important pragmatic limitations in the development of real-world GP solutions. Over the years, many theories regarding the causes of bloat have been proposed and a variety of bloat control methods have been developed. It seems that one of the underlying causes of bloat is the search for fitness; as the fitness-causes-bloat theory states, selective bias towards fitness seems to unavoidably lead the search towards programs with a large size. Intuitively, however, abandoning fitness does not appear to be an option. This paper, studies a GP system that does not require an explicit fitness function, instead it relies on behavior-based search, where programs are described by the behavior they exhibit and selective pressure is biased towards unique behaviours using the novelty search algorithm. Initial results are encouraging, the average program size of the evolving population does not increase with novelty search; i.e., bloat is avoided by focusing on novelty instead of quality.",

}

Genetic Programming entries for Leonardo Trujillo Enrique Naredo Yuliana Martinez

Citations