A rank-based constraint handling technique for engineering design optimization problems solved by genetic algorithms

The MCR follows an “uncoupled” approach where the CHT is not embedded into the optimization algorithm. Extensive studies are performed to assess its accuracy and robustness, compared to six other up-to-date CHTs, all implemented into the same canonical Genetic Algorithm to allow a neutral and unbiased evaluation. The numerical experiments comprise benchmark functions from the IEEE-CEC competitions on constrained optimization, and also classical structural engineering problems. The performance of the CHTs is compared using efficiency measures in terms of nonparametric statistical tests. The results indicate that the MCR is remarkably more accurate and robust for the subset of problems presenting different-magnitude constraints, while remaining very competitive and one of the top-performers for all other benchmark problems comprising the case studies.