Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function. - Liang Yong

To improve the efficiencies of evolutionary algorithms (EAs), we have proposed a highly efficient speed-up strategy in our previous research work: the exclusion-based selection operators. These operators could efficiently prevent the individuals of EAs from getting into the attractions of local optima through the search space shrinking method. However, when a global optimum of a minimization problem is located in a very narrow attraction, the exclusion-based selection operators may not be able to find this narrow attraction and delete this global optimum mistakenly, making the algorithm unreliable. In this paper, we propose a new complementary efficient speed-up strategy—the Fourier series auxiliary function. This strategy could guide an algorithm to search for optima with narrow attractions efficiently and effectively, and compensate the deficiency of the exclusion-based selection operators on the algorithm’s …