Performance comparison between meta-gradient driven and benchmark algorithms.

<p>Performance comparison between meta-gradient driven and benchmark algorithms.</p>

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Dandan Wang (286632) (author)
مؤلفون آخرون:	Ni Sun (11936027) (author)
منشور في:	2025
الموضوعات:	Ecology Science Policy Biological Sciences not elsewhere classified cost drops 28 convergence time overruns co &# 8322 capacity matching degree time optimization paradigm sudden demand changes second equilibrium convergence scale logistics networks reinforcement learning methods node load imbalance combines sparse gradient traditional methods objective optimization node network global logistics demand balance accelerated equilibrium tensor decomposition study proposes scalable real research innovates realizes sub prediction error peak periods framework achieves falls 27 existing algorithms driven framework disturbance recovery constrained multi changing supply benchmark performance 4 %,
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