Abstract
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.
Cite
CITATION STYLE
Fernández, F., Galeano, G., & Gómez, J. A. (2002). Comparing synchronous and asynchronous parallel and distributed genetic programming models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2278, pp. 326–335). Springer Verlag. https://doi.org/10.1007/3-540-45984-7_32
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
