بدائل البحث:
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
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Completion times for different algorithms.
منشور في 2025"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …"
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Solution results of different algorithms.
منشور في 2025"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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Prediction percentage distribution using different algorithms applied in our research.
منشور في 2025"…<p>Prediction percentage distribution using different algorithms applied in our research.…"
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Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.
منشور في 2025الموضوعات: -
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Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.
منشور في 2025الموضوعات: -
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Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.
منشور في 2025الموضوعات: -
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Algorithms runtime comparison.
منشور في 2025"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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The average cumulative reward of algorithms.
منشور في 2025"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …"