A comprehensive review on deep learning for multi-objective optimization

Key Points

• Multi-objective optimization focuses on finding optimal solutions for competing objectives, enhancing efficiency.
• Deep learning algorithms have shown significant advancements in addressing complex optimization problems.
• Various performance metrics can evaluate the efficacy of deep learning methods in optimization tasks.
• The review emphasizes the importance of interdisciplinary techniques for broader applications and improved outcomes.