A numerical optimization algorithm based on bacterial reproduction

Abstract

According to characteristics of rapid speed and large quantity in the process of bacterial reproduction, and natural selection, survival of the fittest in the process of evolution, the framework of bacterial reproduction optimization(BRO) algorithm is proposed from a macro perspective of bacteria reproduction. The process of bacteria reproduction is divided to four periods with lag period, logarithmic period, stable period and decline period. Likewise, the process of optimization algorithm proposed by this paper is segmented into four periods with initial period, iteration period, stable period and decline period. Based on the framework, strategies are introduced to design BRO more efficiently. Experimental results and theoretical analysis show that BRO has faster convergence speed and higher accuracy for high-dimensional problems.