Investigation of Asynchrony in Dynamic Multi-Objective Optimization

Abstract

© 2019 IEEE. Dynamic multi-objective optimization problems are very common in many real-world applications. Such problems are often characterized by time varying objectives, constraints or parameters. Consideration of dynamics is typically limited to a single dynamic time scale; a restriction on the realistic description of real-world scenarios. In this paper, we investigate the effects of asynchrony on algorithm performance for two and three objective benchmark optimization problems with two independent time variables. The independent update of these time variables is parameterized on a logarithmic scale between slow-relative change, synchronous change and fast-relative changes. To evaluate..