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Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments
(Elsevier, 2023)
Real-world multi-objective optimization problems encounter different types of uncertainty that
may affect the quality of solutions. One common type is the stochastic noise that contaminates
the objective functions. Another ...
A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
(Springer, 2023)
The mechanism for reacting to the changes in an environ-
ment when detected is the key issue that distinguishes various algorithms
proposed for dynamic multi-objective optimization problems (DMOPs).
The severity of ...