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For the comparison purpose, different algorithms (viz. PSO [69], TLBO [70], CS, and SOS) are considered in this book chapter and the parameters for the different algorithms considered are tabulated in Table 1.2 as below. The study has been carried out to analyze the performance of SPBO to solve CEC-2005 benchmark functions [67, 71]. The analysis has been done considering 30-dimensional problems. The comparison performance study of SPBO with PSO, TLBO, CS, SOS has been shown in Table 1.3. It may be noticed from Table 1.3, that the SPBO’s performance is better compared to that given by the remaining optimization algorithms considered. SPBO stands 1^st rank in nine of benchmark functions of CEC-2005 according to the optimum solution achieved as well as based on converging mobility. The mean of the result obtained in nine benchmark functions is better as compared to the mean achieved by PSO, TLBO, CS and SOS. In only one function (i.e. F8) SPBO stands 3^rd. Compared to the other algorithms considered in this analysis, it can be found in the study that the performance of the proposed SPBO algorithm is better.

Table 1.2 Parameters of different algorithms for benchmark functions.

An entry “NA” means not applicable.

So, it may be inferred that the proposed novel SPBO method works fine to solve ten CEC-2005 benchmark functions considered in this book chapter.