- author = "Astro Teller",
- title = "Evolving Programmers: The Co-evolution of Intelligent Recombination Operators",
- booktitle = "Advances in Genetic Programming 2",
- publisher = "MIT Press",
- year = "1996",
- editor = "Peter J. Angeline and K. E. {Kinnear, Jr.}",
- pages = "45--68",
- chapter = "3",
- address = "Cambridge, MA, USA",
- keywords = "genetic algorithms, genetic programming, memory",
- ISBN = "0-262-01158-1",
-
URL = "
http://www.cs.cmu.edu/afs/cs/usr/astro/public/papers/AiGPII.ps",
-
URL = "
http://www.cs.cmu.edu/afs/cs/usr/astro/mosaic/chapterII/chapterII.html",
-
URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277500",
-
DOI = "
doi:10.7551/mitpress/1109.003.0007",
- size = "24 pages",
-
abstract = "The genetic programming process searches over a
fitness landscape. The shape of this landscape is
determined by the task to be solved and the
representation in which the population members are
expressed. The movement through this space is
determined by the operators that act to recombine the
population members. These factors make it imperative
that our search for increased power and understanding
in genetic programming include the study and
improvement of representations and operators. This
chapter describes a process for learning SMART
recombination programs in a co-evolutionary process and
a new representation for the evolution of algorithms.
How these SMART operator programs are created, how they
act, how they co-evolve with a main population of
programs, and experimental results on their use are the
subjects of this chapter.
",
- notes = "PADO + SMART recombination html version available from http://www.cs.cmu.edu/~astro/",
