A Comparative Study on Self-Adaptive Differential Evolution Algorithms for Test Functions and a Real-World Problem

摘要

This paper compares novel self-adaptive Differential Evolution algorithms (SADEs) on noisy test functions to see how robust the algorithms are against noise in fitness function. This paper also compares the performance of SADEs on real-world problems that estimates Bidirectional Reflectance Distribution Function properties of 3D objects.