Sparkline Histograms for Comparing Evolutionary Optimization Methods

Comparing evolutionary optimization methods is a difficult task. As more and more of articles are published in this field, the readers and reviewers are swamped with information that is hard to decipher. We propose the use of sparkline histograms that allow compact representation of test data in a way which is extremely fast to read and more informative than usually given metrics.