Differential Evolution with a Repair Method to Solve Dynamic Constrained Optimization Problems
María-Yaneli Ameca-Alducin, Efrén Mezura‐Montes, Nicandro Cruz-Ramírez · 2015
An algorithm inspired in two differential evolution variants is proposed to solve Dynamic Constrained Optimization Problems (DCOPs). It is also added a repair method based on the differential mutation, which does not require feasible solutions as reference. This approach is compared against state-of-the-art algorithms to solve DCOPs. Different performance measures are employed in the tests to show the competitiveness of our proposal at different change frequencies.