A suite of 235 engineering-derived optimization problems is paired with a random-sampling reference metric that normalizes performance for unbiased comparison of algorithms.
Limitations of benchmark sets and land- scape features for algorithm selection and performance prediction
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Randomness as Reference: Benchmark Metric for Optimization in Engineering
A suite of 235 engineering-derived optimization problems is paired with a random-sampling reference metric that normalizes performance for unbiased comparison of algorithms.