Speeding up genetic programming: a parallel BSP implementation

Authors:
Dimitris C. Dracopoulos;Simon Kent
Affiliations:
Brunel University, London, UK;Brunel University, London, UK
Venue:
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Year:
1996

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Abstract

For Genetic Programming to be accepted by the mainstream computer science community, an area which must be addressed is that of reducing the time taken to arrive at solutions. Fairly extensive work has been carried out on the parallelisation of genetic algorithms, Cantú-Paz (1995). However, parallelisation of Genetic Programming remains a relatively unimplemented area. This paper therefore discusses a parallel implementation of a Genetic Programming system which can be applied using very standard hardware, providing a faster GP system, for use by the genetic programming researchers and users.