A Surrogate-Assisted Genetic Recommender System utilising Interactive Genetic Algorithms with meta-model evaluations to optimise suggestions.
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Approximation
Benchmark
Environment
GeneticOptimizer
Individual
Objective
Population
Recommender
Utility
.gitignore
.travis.yml
README.md
main.go

README.md

Surrogate-Assisted Interactive GA Recommender

Build Status Coverage Status Go Report Card

Run Benchmarks

$ go run main.go <mode> <specific>

mode: benchmark
specific: rates | suggestions | compare

Evaluation Rate Testsuite

$ go run main.go benchmark rates

Suggestions Testsuite

$ go run main.go benchmark suggestions

Comparison Testsuite

comparing SAGRS to a Genetic Algorithm and a Random Search
$ go run main.go benchmark suggestions