A ranking-based space search algorithm with control parameters

In this paper, we propose a ranking-based space search algorithm (RSSA) with the aid of control parameters, which have a significant influence on the performance of the space search algorithm. Ranking strategy is realized in the design of space search operators. Also, instead of fixed parameter, three given values are considered as suitable control parameter settings. To evaluate the performance of the RSSA, 10 well-known benchmark functions are tested. Furthermore, the proposed RSSA is applied as optimal vehicle for a nonlinear data set. Experimental results show the RSSA is very competitive.