Evolving Software Building Blocks with FINCH

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Michael Orlov",
  title =        "Evolving Software Building Blocks with FINCH",
  booktitle =    "GI-2017",
  year =         "2017",
  editor =       "Justyna Petke and David R. White and W. B. Langdon and 
                 Westley Weimer",
  pages =        "1539--1540",
  address =      "Berlin",
  month =        "15-19 " # jul,
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, Java bytecode",
  isbn13 =       "978-1-4503-4939-0",
  URL =          "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/orlov2017_finch.pdf",
  URL =          "https://noexec.org/public/papers/finch-tree.pdf",
  URL =          "http://doi.acm.org/10.1145/3067695.3082521",
  DOI =          "doi:10.1145/3067695.3082521",
  acmid =        "3082521",
  size =         "2 pages",
  abstract =     "This paper proposes to explore the following question:
                 can software evolution systems like FINCH, that evolve
                 linear representations originating from a higher-level
                 structural language, take advantage of building blocks
                 inherent to that original language?",
  notes =        "Factorial, JVM 'static analysis, and locates bytecode
                 sequences that are fit for compatible crossover,
                 consistent with primitive and object value type
                 hierarchies in both the stack and in the variables
                 array.'... 'detect building blocks that are comparable
                 to those naturally found in the original source code,
                 and use them to construct a tree-based GP data

                 Also known as \cite{Orlov:2017:GECCO} and
                 \cite{Orlov:2017:ESB:3067695.3082521} GECCO-2017 A
                 Recombination of the 26th International Conference on
                 Genetic Algorithms (ICGA-2017) and the 22nd Annual
                 Genetic Programming Conference (GP-2017)",

Genetic Programming entries for Michael Orlov