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I've always wanted to try genetic algorithms in practice, but whenever I came across a problem that could be solved this way, I was stuck on point 1. How to pa
by rhn_mk1 8y ago
I've always wanted to try genetic algorithms in practice, but whenever I came across a problem that could be solved this way, I was stuck on point 1.
How to parametrize my problem? Be it mathematical operations, source code or gates, how to separate it in pieces that can be mutated efficiently?
- opless 8y agoAnd that's half the fun of machine learning ;) Yes, you will have to fight the GA/GPs and modify your problem definition and utility functions until you get the results that you're looking for. Sometimes the results are very surprising!