soypat/mu8
Genetic algorithm for unsupervised machine learning in Go.
This tool helps engineers and scientists optimize complex systems by simulating many variations and selecting the best performers over generations. You provide a description of your system (e.g., a rocket design, a manufacturing process) and a way to measure its performance, and it outputs the optimal configuration. It's designed for professionals who need to find the best design or parameters for systems with many interacting variables.
127 stars. No commits in the last 6 months.
Use this if you need to optimize a system where traditional mathematical methods are too complex or you're dealing with many interacting variables, like designing a rocket stage for maximum height.
Not ideal if your optimization problem can be solved with simpler, direct mathematical approaches or if you're not comfortable defining system parameters and performance metrics in code.
Stars
127
Forks
5
Language
Go
License
BSD-2-Clause
Category
Last pushed
May 16, 2023
Commits (30d)
0
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