Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Parallel genetic programming: a scalable implementation using the transputer network architecture
Advances in genetic programming
Analyzing synchronous and asynchronous parallel distributed genetic algorithms
Future Generation Computer Systems - Special issue on bio-impaired solutions to parallel processing problems
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Parallel global optimisation meta-heuristics using an asynchronous island-model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Implicitly controlling bloat in genetic programming
IEEE Transactions on Evolutionary Computation
P-CAGE: an environment for evolutionary computation in peer-to-peer systems
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
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We present a study that analyses the respective advantages and disadvantages of the synchronous and asynchronous versions of island-based genetic programming and also a relationship between the number of subpopulations in parallel GP and the asynchronous model. We also look at a new measuring system for comparing parallel genetic programming with panmictic model. At the same time we show an interesting relationship between the bloat phenomenon and the number of individuals we use.