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insight - Neural-Guided Meta-Heuristic Algorithm
Generative Flow Ant Colony Sampler for Combinatorial Optimization
The author introduces the Generative Flow Ant Colony Sampler (GFACS) as a novel neural-guided meta-heuristic algorithm for combinatorial optimization, integrating generative flow networks (GFlowNets) with ant colony optimization methodology. The approach aims to address limitations in existing methods and improve performance in various combinatorial optimization tasks.
Generative Flow Ant Colony Sampler for Combinatorial Optimization
Generative Flow Ant Colony Sampler (GFACS) integrates GFlowNets with ACO to enhance combinatorial optimization.
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