@starkstechnology: Can NSGA-II find a better spot for your router? In this simulated home, gradient descent covered 100 points. NSGA-II reached 209 with the same 1,200-evaluation budget. Watch how a flat loss stalls one search while a population keeps exploring.Python experiment: https://github.com/austin-starks/router-rumble#Python #MachineLearning #WiFi #Optimization

Austin Starks — Trading & Tech

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Sunday 04 October 2026 06:13:05 GMT