The effects of asymmetric neighborhood assignment in the MOEA/D algorithm
The MOEA/D algorithm is one of the leading multiobjective evolutionary algorithms. The paper describes the effects that cause the MOEA/D algorithm to converge asymmetrically. This is undesirable, because a multiobjective optimizer should explore the solution space evenly. The paper gives some guidelines on how to avoid such asymmetries.
moea/d algorithm evolutionary algorithms multiobjective optimization selective pressure