DeepMind's AlphaEvolve strikes again:
After recovering 0.7% of global GCP compute through better scheduling algos, AlphaEvolve helped FM Logistics achieve "10.4% improvement in routing efficiency over the previous best solution", leading to "15,000+ fewer kilometers of warehouse travel per year at full operational scale".
It's really nice to see evolutionary algorithms make a comeback. AlphaEvolve uses an LLM (Gemini) as as a mutation function, and using similar mutate-evaluate-select loops typical of traditional evolutionary algorithms.
https://cloud.google.com/blog/products/ai-machine-learning/how-fm-logistic-tackled-the-traveling-salesman-problem-at-warehouse-scale-with-alphaevolve
#AlphaEvolve #DeepMind #EvolutionaryAlgorithms
After recovering 0.7% of global GCP compute through better scheduling algos, AlphaEvolve helped FM Logistics achieve "10.4% improvement in routing efficiency over the previous best solution", leading to "15,000+ fewer kilometers of warehouse travel per year at full operational scale".
It's really nice to see evolutionary algorithms make a comeback. AlphaEvolve uses an LLM (Gemini) as as a mutation function, and using similar mutate-evaluate-select loops typical of traditional evolutionary algorithms.
https://cloud.google.com/blog/products/ai-machine-learning/how-fm-logistic-tackled-the-traveling-salesman-problem-at-warehouse-scale-with-alphaevolve
#AlphaEvolve #DeepMind #EvolutionaryAlgorithms