A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization
Michael Hellwig, Hans-Georg Beyer · 2018
By combination of successful constraint handling techniques known within the context of Differential Evolution with the recently suggested Matrix Adaptation Evolution Strategy (MA-ES), a new Evolution Strategy for constrained optimization is presented. The novel MA - ES variant is applied to the benchmark problems specified for the CEC 2018 competition on constrained single objective real-parameter optimization. The algorithm is able to find feasible solutions on more than 80 % of the benchmark problems with high accuracy.