A knee-guided prediction approach for dynamic multi-objective optimization.

•The MCDM process is incorporated into the knee-guided evolutionary algorithm framework.•The knee and boundary regions are introduced to accelerate the convergence of the population.•Change detection in dynamic environment is analyzed and implemented.•A prediction method is implemented for tracking the moving locations of the knee point.