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A novel optimization algorithm, dubbed the FEngine, is making waves by significantly outperforming the established Monte Carlo method across various complex problems. Performance benchmarks reveal substantial gains, including an 82.2% improvement in solving the Traveling Salesman problem, an 89.3% boost in Vehicle Routing efficiency, an 8.4% advancement in Neural Architecture Search, and an impressive 80% leap in Protein Folding accuracy coupled with a 2.15x speedup. This breakthrough could herald a new era in optimization, potentially impacting fields ranging from logistics to drug discovery. Further information can be found on Reddit.