Improving Evolutionary Algorithms in a Continuous Domain by Monitoring the Population Midpoint

Download PDF
Open Webpage

Jaroslaw Arabas, Rafal Biedrzycki

Published: 2017, Last Modified: 03 Feb 2025IEEE Trans. Evol. Comput. 2017EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: It is advocated that monitoring the population midpoint allows for improving the efficiency of population-based evolutionary algorithms (EAs) in ℝd. The theoretical motivation supporting this hypothesis is provided in this letter, and this phenomenon is empirically confirmed for selected typical EAs by a series of tests for fitness functions contained in the CEC2005 and CEC2013 benchmark sets.