An Improved Parallel Algorithm of Genetic Programming Based on the Framework of MapReduce

Genetic programming lacks convergence prematurely and operating efficiency. This paper is to study this problem that integrates the genetic programming theory with the framework of Map/Reduce. This is to improve the efficiency by parallel and distributed capability proved by Map/Reduce. Our experiments show that the improved parallel algorithm of genetic programming under the framework of Map/Reduce has the better performance than the conventional approaches.