4 ms·
Differentiable Genetic Programming (2016)
- verdverm 8y agoI'm still facepalming GP because the associative and communative properties of algebra are omitted. Add in a nonlinear solver and you can reduce th problem size considerably. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394.140 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394....
- joe_the_user 8y agoSo do you mean that GP could sped-up by taking the evolutionary process it's simulating and using a solver to find the process' fixed-points?
- verdverm 8y agoGP in general needs something like Tensorflow and a standard set of benchmarks
- joe_the_user 8y agoWell it needs something, it seems. The article looks like an interesting approach but it gives every impression of being a "cul-da-sac", an effort that wasn't followed up on. Google scholar shows this article cited by four other articles - and those article not cited by anything more. Some way of figuring out what articles matter in GP would be very useful.
- randomsearch 8y agogpbenchmarks.org ?
- verdverm 8y agoThat's ok, there was a paper from Gecco2012, I think, GP needs better benchmarks. Differential Equations and PDEs would be a good option too.
- __lm__ 8y agoThe fact that there is no standard set of benchmarks was recognised some years ago: https://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf https://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf http://www.cs.put.poznan.pl/wjaskowski/archives/wp-publications/white2012better http://www.cs.put.poznan.pl/wjaskowski/archives/wp-publicati... While I think that the situation is improving, we are still far from a common set of benchmarks used by the entire GP community.