- author = "Hitoshi Iba",
- title = "Complexity-based Fitness Evaluation for Variable Length Representation",
- editor = "Wolfgang Banzhaf and Inman Harvey and Hitoshi Iba and William Langdon and Una-May O'Reilly and Justinian Rosca and Byoung-Tak Zhang",
- note = "Position paper at the Workshop on Evolutionary Computation with Variable Size Representation at ICGA-97",
- month = "20 " # jul,
- year = "1997",
- address = "East Lansing, MI, USA",
- keywords = "genetic algorithms, genetic programming, bloat, variable size representation",
-
URL = "
http://coblitz.codeen.org:3125/citeseer.ist.psu.edu/cache/papers/cs/16452/http:zSzzSzwww.miv.t.u-tokyo.ac.jpzSz~ibazSztmpzSzagp94.pdf/iba94genetic.pdf",
-
URL = "
http://citeseer.ist.psu.edu/327857.html",
- abstract = "This paper introduces a Minimum Description Length (MDL) principle to define fitness functions in Genetic Programming (GP). In traditional (Koza-style) GP, the size of trees was usually controlled by user-defined parameters, such as the maximum number of nodes and maximum tree depth. Large tree sizes meant that the time necessary to measure their fitnesses often dominated total processing time. To overcome this difficulty, we introduce a method for controlling tree growth, which uses an...",
-
notes = "http://web.archive.org/web/19971014081458/http://www.ai.mit.edu/people/unamay/icga-ws.html
",
- size = "3 pages",
