The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization

no code implementations • 14 Jul 2020 • Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez

These results strongly support the conclusion that the cone-eps-MOEA is a competitive approach for obtaining an efficient balance between convergence and diversity to the Pareto front, and as such represents a useful tool for the solution of multiobjective optimization problems.

Evolutionary Algorithms Multiobjective Optimization

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

1 code implementation • 9 Jun 2020 • Petrônio C. L. Silva, Paulo V. C. Batista, Hélder S. Lima, Marcos A. Alves, Frederico G. Guimarães, Rodrigo C. P. Silva

The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the public health and economy worldwide.