Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming

Cristian Sandoval, Oliver Cuate, Luis C. González, Leonardo Trujillo, Oliver Schütze

Abstract: Highlights•A model that approximates the Hypervolume indicator is obtained using GP.•Models are highly efficient, orders of magnitude faster in total computation time.•Models are highly accurate, and can be used to guide an indicator-based MOEA.