“Sampling” as a Baseline Optimizer for Search-Based Software Engineering
“Sampling” as a Baseline Optimizer for Search-Based Software Engineering
Increasingly, Software Engineering (SE) researchers use search-based optimization techniques to solve SE problems with multiple conflicting objectives. These techniques often apply CPU-intensive evolutionary algorithms to explore generations of mutations to a population of candidate solutions. An alternative approach, proposed in this paper, is to start with a very large population …