keywords = "genetic algorithms, genetic programming, parallel and
distributed processing, FGP system, FP, distributed
computing environment, functional genetic programming,
high level solutions, high-level program induction,
higher order functions, iteration, near linear
speed-up, parallel evolutionary algorithm, parallel
implementation, programming problems, pure functional
language, recursion, functional languages, functional
programming, parallel algorithms, parallel
programming",
ISBN = "0-7803-5536-9 (softbound)",
ISBN = "0-7803-5537-7 (Microfiche)",
DOI = "doi:10.1109/CEC.1999.782536",
abstract = "The paper discusses issues relating to the
implementation of a new technique for the induction of
high level programs, Functional genetic programming
(FGP). The FGP system is based on the pure functional
language FP, which uses higher order functions and
avoids the use of explicitly named objects, While the
FGP system can produce high level solutions to a number
of common programming problems involving iteration and
recursion, this technique is computationally expensive.
A parallel implementation that addresses this
limitation is presented and it is shown that near
linear speed-up can be achieved across a distributed
computing environment",
notes = "CEC-99 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.