Density estimation strategies in high-dimensional MOEAs

A density estimation strategy is often adopted in order to guarantee better distribution and convergence in MOEA But the current density estimation strategies cannot achieve this goal when the number of objectives become large. Each objective was more generally considered and four novel strategies of density estimation were proposed. Then, they were applied in SPEA2, which was one of the classical MOEAs The experimental results of the test cases of MOKP with 4 to 9 objectives show that SPEA2 with the novel strategies have better convergence to the Pareto front on all test cases.