Genetic 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 ReviewPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Evolutionary Algorithms | 16 | 8.70% |
Diversity | 11 | 5.98% |
Management | 9 | 4.89% |
Reinforcement Learning (RL) | 8 | 4.35% |
Combinatorial Optimization | 7 | 3.80% |
Deep Learning | 6 | 3.26% |
Cloud Computing | 5 | 2.72% |
Reinforcement Learning | 4 | 2.17% |
Computational Efficiency | 4 | 2.17% |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |