- 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
structure.'
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)",
