Real world oriented test functions

The global optimal solutions of presently widely-used test functions are known or controllable, which leaves room for algorithm falsification. Moreover, the most algorithmic results to optimize test functions from papers are one-way conversation without peers´ recognition, whose authenticity depends entirely on the authors´ personal integrity. In this paper, in order to change the situation, two groups of real world oriented test functions and the resultative optimal solutions are given. The chief characteristics of these functions are its global optimal solution unknown to all people forever, which blocks off the loopholes of algorithmic cheating from the source. The comparison of the quality of the two algorithmic models depends on which can find out a better optimal solution coordinate. Therefore, a real world oriented test function can detect the actual level of algorithm.