A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax
Denis Antipov, Aneta Neumann, Frank Neumann · Proceedings of the Genetic and Evolutionary Computation Conference · 2024
Real-world optimization problems often require finding not only one good solution, but a diverse set of good solutions. Evolutionary algorithms (EAs) have been shown to suit well for such a task. However our theoretical understanding of their behavior remains unsatisfying, especially in the multi-objective domain.