Abstract: This paper addresses multi-AGV task allocation in intelligent manufacturing by proposing a hybrid rescheduling method combining an improved greedy algorithm and simulated annealing. It ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Abstract: The energy storage self-scheduling (ESSS) problem is typically formulated as a mixed-integer linear programming (MILP) or quadratically constrained programming (QCP) model, reflecting the ...
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