Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming and emergent intelligence
Advances in genetic programming
Evolutive Introns: A Non-Costly Method of Using Introns in GP
Genetic Programming and Evolvable Machines
An Analysis of the Causes of Code Growth in Genetic Programming
Genetic Programming and Evolvable Machines
Experimental Study of Multipopulation Parallel Genetic Programming
Proceedings of the European Conference on Genetic Programming
MPI: A Message-Passing Interface Standard
MPI: A Message-Passing Interface Standard
A study in program response and the negative effects of introns in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
The benefits of computing with introns
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Duplication of coding segments in genetic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
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We describe in this paper a parallel implementation of Multi Niche Genetic Programming that we use to test the performance of a modified migration model. Evolutive introns is a technique developed to accelerate the convergence of GP in classification and symbolic regression problems. Here, we will copy into a differentiated subpopulation the individuals that due to the evolution process contain longer Evolutive Introns. Additionally, the multi island model is parallelised in order to speed up convergence. These results are also analysed. Our results prove that the multi island model achieves faster convergence in the three different symbolic regression problems tested, and that the junk-coded subpopulation is not significantly worse than the others, which reinforces our belief in that the important thing is not only fitness but keeping good genetic diversity along all the evolution process. The overhead introduced in the process by the existence of various island, and the migration model is reduced using a multi-thread approach.