@inproceedings{PDPTA96b,
title = {An occam Library for Genetic Programming on Transputer
Networks},
address = {Sunnyvale, California},
author = {I. M. Ikram},
booktitle = {Proceedings of the International Conference on
Parallel and Distributed Processing Techniques and
Applications},
editor = {Hamid R. Arabnia},
month = {9-11 August},
pages = {1186--1189},
publisher = {CSREA},
year = {1996},
abstract = {This paper describes the contents of a library of
occam procedures used to implement parallel versions of
the Genetic Programming (GP) machine learning paradigm.
GP attempts to evolve solutions to machine learning
problems, in the form of trees encoding programs or
expressions. As occam lacks recursion and both higher
order functions and function pointers, the
implementation of a generic tree evaluation procedure
for trees containing arbitrary functions is not
trivial. We present a concurrent algorithm used to
alleviate this problem.},
notes = {Ismail Ikram http://cs.ru.ac.za/homes/g93i0527/},
keywords = {Transputers algorithms, genetic occam, programming, }
}
::