Evolutionary programs are capable of finding good solutions to difficult optimization problems. Previous analysis of their convergence properties has normally assumed the strategy parameters are kept constant, although in practice these parameters are dynamically altered. In this paper, we propose a modified version of the 1/5-success rule for self-adaptation in evolution strategies (ES). Forma...

This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently locate all optima of multimodal problems. The technique is based on the concept of adaptively adjusting the population size according to the individuals’ dissimilarity and the novel elitist genetic operators. Incorporation of the...

The quantum clustering (QC) algorithm suffers from the issues of getting stuck in local extremes and computational bottleneck when handling large-size image segmentation. By embedding a potential evolution formula into affinity function calculation of multi-elitist immune clonal optimization, and updating the cluster center based on the distance matrix, the multi-elitist immune clonal quantum c...

Abstract Populism sees representative government as intrinsically elitist, preferring to think about democracy in terms of the will people, expressed through devices such referendums. However, this view is not one that can be made sense and seeking pursue people dangerous democracy. Citizen engagement important a democracy, but best conceived on model civil society organizations undertaking pra...