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
Bogdan Buduroiu
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2026-04-09 07:03:44 UTC
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"content": "DeepMind's AlphaEvolve strikes again:\n\nAfter 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\".\n\nIt'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.\n\nhttps://cloud.google.com/blog/products/ai-machine-learning/how-fm-logistic-tackled-the-traveling-salesman-problem-at-warehouse-scale-with-alphaevolve\n\n#AlphaEvolve #DeepMind #EvolutionaryAlgorithms",
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