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JJ / 2019-concurrent-ea-gecco

Paper for the GECCO conference
GNU General Public License v3.0
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Scaling-up concurrent population-mixing operator #2

Open Sargaleano opened 5 years ago

Sargaleano commented 5 years ago

I believe going stateless for population-based operators such as crossover, may have overhead effects in the concurrency communication channels, both reading and writing, specially in large-dimensional problems or large-size populations.

One alternative to scale-up such kind of operators would be to consider going for a "compact" stateless representation, by evolving EDA-style GA. It would be interesting to try classic variants such as Compact GA, UMDA or PBIL, or in large-scale problems to experiment with our own EDA variant, specially designed for that purpose (called TILDA), see:

A Memory Efficient and Continuous-valued Compact EDA for Large Scale Problems
https://dl.acm.org/citation.cfm?id=2330204

JJ commented 5 years ago

Good idea, Sergio.

JJ commented 5 years ago

We could try this.