An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization

P Liang, Y Chen, Y Sun, Y Huang, W Li - Expert Systems with Applications, 2024 - Elsevier
Many-objective optimization problems (MaOPs) are challenging tasks involving optimizing
many conflicting objectives simultaneously. Decomposition-based many-objective …

An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization

P Liang, Y Chen, Y Sun, Y Huang, W Li - 2024 - dl.acm.org
Many-objective optimization problems (MaOPs) are challenging tasks involving optimizing
many conflicting objectives simultaneously. Decomposition-based many-objective …