A depth controlling strategy for Strongly Typed Evolutionary Programming

作者: Claire J. Kennedy , Christophe Giraud-Carrier

DOI:

关键词:

摘要: This paper presents a dynamic strategy for monitoring the depth of program trees evolved by STEPS (Strongly Typed Evolutionary Programming System). evolves higher-order functional programs in form trees, which are allowed to grow or shrink fit size problem, via specialised genetic operators. Thus, need arbitrary cut-off mechanisms is eliminated.

参考文章(15)
Peter Ross, Chris Gathercole, An adverse interaction between crossover and restricted tree depth in genetic programming Proceedings of the 1st annual conference on genetic programming. pp. 291- 296 ,(1996)
Peter J. Angeline, Genetic programming and emergent intelligence Advances in genetic programming. pp. 75- 97 ,(1994)
Walter Alden Tackett, Recombination, selection, and the genetic construction of computer programs University of Southern California. ,(1994)
J. W. Lloyd, Declarative Programming in Escher University of Bristol. ,(1995)
P. A. Flach, C. Giraud-Carrier, J. W. Lloyd, Strongly Typed Inductive Concept Learning inductive logic programming. pp. 185- 194 ,(1998) , 10.1007/BFB0027322
Christopher Gathercole, An Investigation of Supervised Learning in Genetic Programming University of Edinburgh. College of Science and Engineering. School of Informatics.. ,(1998)
Claire J. Kennedy, Christophe Giraud-Carrier, An Evolutionary Approach to Concept Learning with Structured Data international conference on adaptive and natural computing algorithms. pp. 331- 336 ,(1999) , 10.1007/978-3-7091-6384-9_56
Tobias Blickle, Evolving Compact Solutions in Genetic Programming: A Case Study parallel problem solving from nature. pp. 564- 573 ,(1996) , 10.1007/3-540-61723-X_1020