CMA-TWEANN: Efficient optimization of neural networks via self-adaptation and seamless augmentation

Mathematics

• Self-adaptation 100%
• Augmentation 70%
• Neural Networks 55%
• Optimization 45%
• Topology 34%
• Reinforcement Learning 29%
• Experiment 14%
• Function Optimization 13%
• Network Topology 13%
• High Efficiency 11%
• Optimization Algorithm 10%
• Mutation 9%
• Benchmark 9%
• Policy 9%
• Controller 9%
• Learning 8%
• Efficient Algorithms 8%
• Gradient 7%
• Demonstrate 5%
• Operator 4%

Engineering & Materials Science

• Topology 40%
• Neural networks 35%
• Reinforcement learning 19%
• Mathematical operators 9%
• Experiments 7%
• Controllers 5%