- author = "Patrik D'haeseleer",
- title = "Context preserving crossover in genetic programming",
- booktitle = "Proceedings of the 1994 IEEE World Congress on Computational Intelligence",
- year = "1994",
- volume = "1",
- pages = "256--261",
- address = "Orlando, Florida, USA",
- month = "27-29 " # jun,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, S-expression tree, context-preserving crossover, crossover operators, matching coordinates, node coordinate scheme, subtrees,optimisation, path planning, programming, trees (mathematics)",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/WCCI94_CPC.ps.Z",
-
URL = "http://www.cs.unm.edu/~patrik/WCCI94_CPC.mac.ps",
- broken = "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00350006",
-
DOI = "
10.1109/ICEC.1994.350006",
- size = "6 pages",
- abstract = "This paper introduces two new crossover operators for Genetic Programming (GP). Contrary to the regular GP crossover, the operators presented attempt to preserve the context in which subtrees appeared in the parent trees. A simple coordinate scheme for nodes in an S-expression tree is proposed, and crossovers are only allowed between nodes with exactly or partially matching coordinates.",
-
notes = "Two new crossover operators for GP (Strong Context
preserving (SCPC) and Weak context preserving(WCPC)).
These attempt to preserve the context of swapped
subtrees. SCPC best used 50percent with Koza crossover.
100percent WCPC not performing as well.
Obstacle avoiding (simulated) robot, 11-multiplexor, food foraging.
",
