Exploratory Landscape Analysis for Meta-Learning-Based Algorithm Selection in Continuous Optimization
Continuous optimization now draws on a large and growing number of competing metaheuristic families, including differential-evolution lineages, covariance-matrix adaptation strategies, swarm-intelligence methods, and simulated annealing, yet no single method dominates across problem classes, a consequence of the No Fre...