Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Massively parallel genetic programming
Advances in genetic programming
Parallel genetic programming and its application to trading model induction
Parallel Computing
Proceedings of the 5th International Conference on Genetic Algorithms
Experimental Study of Multipopulation Parallel Genetic Programming
Proceedings of the European Conference on Genetic Programming
A Distributed Computing Environment for Genetic Programming Using MPI
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Parallel Genetic Programming on a Network of Transputers
Parallel Genetic Programming on a Network of Transputers
Distributed genetic programming: empirical study and analysis
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Speeding up genetic programming: a parallel BSP implementation
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
An Empirical Study of Multipopulation Genetic Programming
Genetic Programming and Evolvable Machines
Characterizing fault tolerance in genetic programming
BADS '09 Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems
Ensemble techniques for parallel genetic programming based classifiers
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Characterizing fault tolerance in genetic programming
Future Generation Computer Systems
Improving induction decision trees with parallel genetic programming
EUROMICRO-PDP'02 Proceedings of the 10th Euromicro conference on Parallel, distributed and network-based processing
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A new parallel implementation of genetic programming based on the cellular model is presented and compared with the island model approach. Although the widespread belief that cellular model is not suitable for parallel genetic programming implementations, experimental results show a better convergence with respect to the island approach, a good scale-up behaviour and a nearly linear speed-up.