Combining semantically-effective and geometric crossover operators for Genetic Programming

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

@InProceedings{Pawlak:2014:PPSN,

• author = "Tomasz Pawlak",
• title = "Combining semantically-effective and geometric crossover operators for Genetic Programming",
• booktitle = "13th International Conference on Parallel Problem Solving from Nature",
• year = "2014",
• editor = "Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith",
• publisher = "Springer",
• isbn13 = "978-3-319-10761-5",
• pages = "454--464",
• series = "Lecture Notes in Computer Science",
• address = "Ljubljana, Slovenia",
• month = "13-17 " # sep,
• volume = "8672",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/978-3-319-10762-2_45",
• abstract = "We propose a way to combine two distinct general patterns for designing semantic crossover operators for genetic programming: geometric semantic approach and semantically-effective approach. In the experimental part we show the synergistic effects of combining these two approaches, which we explain by a major fraction of crossover acts performed by geometric semantic crossover operators being semantically ineffective. The results of the combined approach show significant improvement of performance and high resistance to a premature convergence.",
• notes = "PPSN-XIII",

}

Genetic Programming entries for Tomasz Pawlak

Citations