Analyzing Temporal Fitness Landscapes of Expensive Bi-Objective Optimization Problems Using True and Surrogate Functions

This study compares the temporal evolution of fitness landscape features between the true and surrogate fitness functions for expensive bi-objective optimization problems. It demonstrates that temporal analysis of both true and surrogate landscape features can help predict algorithm performance.