The Challenge for the Nature-Inspired Global Optimization Algorithms: Non-Symmetric Benchmark Functions

Along with the increasing number of nature-inspired algorithms, more and benchmark functions were also involved in initial verification experiments. The introduced to verify capability algorithms optimization, but not all them could be optimized, because they different from each other dimensionality, separability, scalability, modality et.al. . In this paper, we another property called symmetry or non-symmetry, which should embedded characteristic affecting optimization. 67 non-symmetric collected 9 popular capability-verified four types simulation Experimental results show that most optimized. And none optimize all. Efforts remain need new methods improvements algorithms.