GA to GA

A meta-learning paradigm that applies genetic algorithms to optimize the hyperparameters of genetic algorithms.

The "child" GA solves TSP from the TSPLIB dataset in this case, but it can also solve any other problem.

Team of three: SW Li, PY Tsai, YS Liao

Usage

python Parent_GA.py

File Description

Parent_GA.py

A parameter optimizer for Child_GA_TSP.py using genetic algorithm

Child_GA_TSP.py

A TSP solver using genetic algorithm, wrapped with a configurable hyperparameter setting.

load_tsp.py

Utility for loading TSP maps. TSP maps are from TSPLIB dataset.

Report.pdf

A Chinese report including methodology and experiment results.

Slide.pdf

A 10-minute presentation slide.