2 papers
cs.NE2020
Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones
Yali Wang, André Deutz, Thomas Bäck +1
Given a point in -dimensional objective space, any -ball of a point can be partitioned into the incomparable, the dominated and dominating region. The ratio between…
cs.LG2019
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
Kaifeng Yang, Michael Emmerich, André Deutz +1
In the field of multi-objective optimization algorithms, multi-objective Bayesian Global Optimization (MOBGO) is an important branch, in addition to evolutionary multi-objective op…