An a priori knee identification multi-objective evolutionary algorithm based on α -dominance
Guo Yu, Yaochu Jin, Markus Olhofer · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2019
In the preference-based multi-objective optimization, the lack of priori-knowledge makes it difficult for the decision maker to specify an informed preference. Thus, the knees are regarded as the naturally preferred solutions on the Pareto optimal front. However, most research is based on a given large number of solutions and a posteriori identifies the knee candidates among them.