Dynamic flexible job shop scheduling problem considering multiple types of dynamic events
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Production Research"
DOI: 10.1080/00207543.2025.2550454
Abstract: Due to the sharp increase in uncertainty and complexity in the modern manufacturing industry, finding dynamic scheduling methods to address these challenges has become increasingly important. Dynamic events can generally be classified into two categories:… read more here.
Keywords: problem; dynamic flexible; ddqn; dynamic events ... See more keywords
Dynamic Fleet Management With Rewriting Deep Reinforcement Learning
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DOI: 10.1109/access.2020.3014076
Abstract: Inefficient supply-demand matching makes the fleet management a research hotpot in ride-sharing platforms. With the booming of mobile network services, it is promising to abate the supply-demand gap with effective vehicle dispatching. In this article,… read more here.
Keywords: reinforcement learning; qrewriter ddqn; demand; ddqn ... See more keywords
Intelligent Cluster Based Routing Protocol for Wireless Sensor Networks Using Fitness Guided FGO and DDQN with Intrinsic Curiosity
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3629666
Abstract: Cluster-based routing for wireless sensor networks (WSNs) is a typical NP-hard problem. Traditional protocols often suffer from weak adaptability to network dynamics and unbalanced energy consumption among clusters. To address these issues, we propose an… read more here.
Keywords: energy; intrinsic curiosity; cluster; cluster based ... See more keywords