Now showing items 1-3 of 3
The effect of diversity maintenance on prediction in dynamic multi-objective optimization
There are many dynamic multi-objective optimization problems (DMOPs) in real-life engineering applications whose objectives change over time. After an environmental change occurs, prediction strategies are commonly used ...
Adaptive neighborhood selection for many-objective optimization problems
It is generally accepted that conflicts between convergence and distribution deteriorate with an increase in the number of objectives. Furthermore, Pareto dominance loses its effectiveness in many-objectives optimization ...
A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization
In real life, there are many dynamic multi-objective optimization problems which vary over time, requiring an optimization algorithm to track the movement of the Pareto front (Pareto set) with time. In this paper, we propose ...