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AI for Optimization
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2026-03-19 | Independent Researcher, Shenzhen, China | 2603.19163
cuGenOpt is a GPU-accelerated metaheuristic framework that uses a 'one block evolves one solution' CUDA architecture and JIT compilation to solve combinatorial optimization problems. The results are rigorously backed by hardware benchmarks, showing it matches OR-Tools on small instances and vastly outperforms MIP solvers, though it struggles with large-scale VRP (>200 nodes) due to memory limits.
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