Heuristic Search Algorithms
Genetic Algorithms
Introduced by Scholz in Genetic Algorithms and the Traveling Salesman Problem a historical ReviewGenetic Algorithms are search algorithms that mimic Darwinian biological evolution in order to select and propagate better solutions.
Source: Genetic Algorithms and the Traveling Salesman Problem a historical Review
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Evolutionary Algorithms | 14 | 10.07% |
| Management | 9 | 6.47% |
| Reinforcement Learning (RL) | 7 | 5.04% |
| Combinatorial Optimization | 6 | 4.32% |
| Cloud Computing | 5 | 3.60% |
| Artificial Life | 4 | 2.88% |
| General Classification | 4 | 2.88% |
| BIG-bench Machine Learning | 4 | 2.88% |
| Fairness | 3 | 2.16% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
