An Exploratory Landscape Analysis-Based Benchmark Suite

The choice of which objective functions, or benchmark problems, should be used to test an optimization algorithm is a crucial part the selection framework. Benchmark suites that are often in literature have been shown exhibit poor coverage problem space. Exploratory landscape analysis can quantify characteristics functions. However, exploratory measures based on samples function, and there lack work appropriate sample size needed produce reliable measures. This study presents approach determine minimum obtain robust Based measures, self-organizing feature map cluster comprehensive set From this, suite has better single-objective, boundary-constrained space proposed.