Parallel genetic algorithms with a continuity operator that allowsfor knowledge inclusion

摘要

In recent years we introduced a continuity operator, the“Superindividual”, that allows for the inclusion ofknowledge in the evolution of the genetic algorithm. Since we deal withvery complex optimization problems, we developed a parallel geneticalgorithm, with the Superindividual operator. The paper presents thisparallel algorithm, which improves on the results of the conventionalgenetic algorithm. Two different models of parallel genetic algorithmsare compared. The results are very encouraging