A distributed implementation using apache spark of a genetic algorithm applied to test data generation
Ciprian Păduraru, Marius-Constantin Melemciuc, Alin Ştefănescu · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2017
This paper presents a distributed implementation for a genetic algorithm, using Apache Spark, a fast and popular data processing framework. Our approach is rather general, but in this paper the parallelized genetic algorithm is used for test data generation for executable programs. The viability of the approach is demonstrated on two examples.