On the parallelization of artificial neural networks and genetic algorithms

被引：1

作者：

Adamidis, P ^{[1
]}

Petridis, V ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Automat & Robot Lab, Thessaloniki, Greece

来源：

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 1998年 / 67卷 / 1-2期

关键词：

parallelization; neural networks; genetic algorithms; co-operating populations; different evolution behaviours;

D O I：

10.1080/00207169808804654

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Simulating an ANN or a genetic algorithm on a parallel processing system one can use several techniques. This paper presents two methods on implementing parallel simulations of Artificial Neural Networks (ANNs) on Transputer Based Systems, using the C programming language under Helios O.S. and Component Distribution Language (CDL) or, alternatively, the 3L Parallel C language. The Processor Farm topology is used for the parallel implementation of Back-Propagation and Multi-Layered Feed-Forward ANNs. A transputer system was also used to implement a simulation of an island parallel genetic algorithm (PGA) and a new optimization method based on PGAs. The method, called Go-operating Populations with Different Evolution Behaviours (CoPDEB), is independent of the machine architecture. It allows the populations to exhibit different evolution behaviours by using a Variety of selection mechanisms, operators, communication methods, and parameters as explained in the sequel.

引用

页码：105 / 125

页数：21

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