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12

ICGA
1997

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Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming

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Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming

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Parallel Distributed Genetic Programming (PDGP) is a new form of Genetic Programming (GP) suitable for the development of programs with a high degree of parallelism. Programs are represented in PDGP as graphs with nodes representing functions and terminals, and links representing the ﬂow of control and results. The paper presents the representations, the operators and the interpreters used in PDGP, and describes experiments in which PDGP has been compared to standard GP.

Riccardo Poli

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Genetic Programming | ICGA 1997 | Interpreters | Nodes Representing Functions | Optimization |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1997
Where	ICGA
Authors	Riccardo Poli

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