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6 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Traffic Signal Control Optimization Based on Deep Reinforcement Learning with Attention Mechanisms

    Deep reinforcement learning (DRL) methodology with traffic control systems plays a vital role in adaptive traffic signal controls. However, previous studies have frequently disregarded the significance of vehi...

    Wenlong Ni, Peng Wang, Zehong Li, Chuanzhuang Li in Neural Information Processing (2024)

  2. No Access

    Chapter and Conference Paper

    Task Scheduling with Improved Particle Swarm Optimization in Cloud Data Center

    This paper proposes an improved particle swarm optimization algorithm with simulated annealing (IPSO-SA) for the task scheduling problem of cloud data center. The algorithm uses Tent chaotic map** to make th...

    Yang Bi, Wenlong Ni, Yao Liu, Lingyue Lai, **nyu Zhou in Neural Information Processing (2024)

  3. No Access

    Chapter and Conference Paper

    Q-Learning Based Adaptive Scheduling Method for Hospital Outpatient Clinics

    Proper selection of the number of Service Providers (SPs) such as doctors, registration windows, and examination equipments in outpatient clinics can improve the efficiency of services and promote the sharing ...

    Wenlong Ni, Lingyue Lai, Xuan Zhao, Jue Wang in Neural Information Processing (2024)

  4. No Access

    Chapter and Conference Paper

    Advanced State-Aware Traffic Light Optimization Control with Deep Q-Network

    The former traffic light control (TLC) system cannot effectively regulate the traffic conditions dynamically in real time due to urban growth. The Dueling Double Deep Recurrent Q-Network with Attention Mechani...

    Wenlong Ni, Zehong Li, Peng Wang, Chuanzhaung Li in Neural Information Processing (2024)

  5. No Access

    Chapter and Conference Paper

    Traffic Signal Optimization at T-Shaped Intersections Based on Deep Q Networks

    In this paper traffic signal control strategies for T-shaped intersections in urban road networks using deep Q network (DQN) algorithms are proposed. Different DQN networks and dynamic time aggregation were us...

    Wenlong Ni, Chuanzhuang Li, Peng Wang, Zehong Li in Neural Information Processing (2024)

  6. No Access

    Chapter and Conference Paper

    Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters

    How to efficiently schedule tasks is the focus of cloud computing. Combining the task scheduling characteristics of the cloud computing environment, a multi-strategy improved sparrow search algorithm (MISSA) t...

    Yao Liu, Wenlong Ni, Yang Bi, Lingyue Lai, **nyu Zhou… in Neural Information Processing (2024)