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221
Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices
Published 2024-01-01“…We then use the concurrent deterministic simplex with root relaxation algorithm. We also propose a deep reinforcement learning (DRL)-based solution to improve runtime complexity. …”
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222
Energy Efficiency Maximization for Device-to-Device Communication Underlaying Cellular Networks on Multiple Bands
Published 2016-01-01“…Finally, simulation results demonstrate that the proposed algorithm can achieve the near-optimal EE with much better performance than the conventional algorithm.…”
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223
Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles
Published 2014-01-01“…The state of charge (SOC) profile can be obtained by the DP algorithm for the whole driving cycle. In order to optimize the energy management strategy in the hybrid power system, the optimal motor torque control sequence can be calculated using the DP algorithm for the segments between the traffic intersections. …”
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224
Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method
Published 2025-01-01“…Firstly, the model incorporates the good point set initialization, triangle wandering strategy and adaptive t-distribution strategy to obtain the Modified Dung Beetle Optimization Algorithm (MDBO), secondly, it uses MDBO to optimize the weights and thresholds of the BP neural network, and lastly, the optimized BP neural network is used as a weak learner for Adaboost. …”
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225
Research on Channel Modeling and Communication Coverage of Wireless Sensor Networks in Barrier Area of Nuclear Power Plants
Published 2022-01-01“…The simulation results show that the improved teaching and learning algorithm can optimize the network coverage of the obstacle area well, and under the four obstacle modules, 14 nodes can cover the whole area by more than 99%. …”
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226
Energy-Balanced Routing for Maximizing Network Lifetime in WirelessHART
Published 2013-10-01“…Then node communication load, the residual energy, and the link transmission power are integrated as a link cost function that is accurately measured in this algorithm. A node chooses the optimal next hop by comparing the link cost function of all its neighbor nodes, which guarantees the energy balancing of the whole network. …”
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227
Automation and control of the vacuum block
Published 2025-01-01“…In a wide range of changing conditions in input disturbing factors in quantity and quality, as well as insufficient operational quality information on the selected petroleum products, the proposed method and principles of development algorithm for controlling the process under study allows for prompt preliminary local regulation modes correction and the selection of new optimal modes for adaptive control as a whole. …”
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228
铰链四杆刚体导引机构综合的区间逃逸粒子群算法
Published 2008-01-01“…The length of the bars is regarded as the restrict condition to obtain the unconstrained optimization model for rigid-body guidance approximate kinematc synthesis of hinged 4-bar linkages and this optimal problem is solved by means of the particle swarm optimization （PSO） algorithm. …”
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229
A Multiple Collision Channel Assignment Based on Imperfect Game Theory
Published 2014-05-01“…The channel allocation in wireless network will greatly affect the whole performance of the network. In order to solve this optimization problem, a kind of non cooperation channel allocation algorithm based on imperfect information was put forward. …”
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230
A Multiple Collision Channel Assignment Based on Imperfect Game Theory
Published 2014-05-01“…The channel allocation in wireless network will greatly affect the whole performance of the network. In order to solve this optimization problem, a kind of non cooperation channel allocation algorithm based on imperfect information was put forward. …”
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231
Enhancement of underwater acoustic signal based on denoising automatic-encoder
Published 2019-10-01“…Aiming at the difficulty of feature extraction of echo signal in active sonar,a self-encoder algorithm based on the combination of denoising self-encoder and convolution denoising self-encoder was proposed.Firstly,the preprocessing of noisy signal was carried out by using the advantage of denoising self-encoder in signal as a whole,and then the local feature of signal was optimized by combining convolutional denoising self-encoder to denoise the signal locally,so as to enhance the signal.The time domain waveform of the received signal is used as the feature input by the algorithm,and retains the signal’s amplitude and phase characteristics.The experimental results show that the algorithm not only effectively reduces the noise component in the signal,but also achieves better recovery effect in both time and frequency domains.…”
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232
Piecewise Model and Parameter Obtainment of Governor Actuator in Turbine
Published 2015-01-01“…Several testing functions are selected to compare genetic algorithm and particle swarm optimization algorithm (GA-PSO) with other basic intelligence algorithms. …”
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233
Weak Connection Regulation Technology for Source-Storage-Load Collaborative Microgrids Based on Direct Power Control
Published 2025-05-01“…The paper also studied the regional DC power supply and flexible regulation technology, analyzed the flexible characteristics of air conditioners, energy storage, photovoltaic, etc., and verified the power direct-control flexible regulation algorithm and evaluation indexes. From the effect of testing and verification, the whole system enables real-time response and rapid adjustment, thus improving the energy utilization efficiency, reducing the grid-side quota and realizing the local consumption of PV.…”
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234
Precision Dosing in Presence of Multiobjective Therapies by Integrating Reinforcement Learning and PK‐PD Models: Application to Givinostat Treatment of Polycythemia Vera
Published 2025-06-01“…The therapeutic goal is to simultaneously normalize the levels of these efficacy/safety biomarkers, thus inducing a complete hematological response (CHR). An RL algorithm, Q‐Learning (QL), was integrated with a PK‐PD model describing the givinostat effect on PLT, WBC, and HCT to derive both an adaptive dosing protocol (QLpop‐agent) for the whole population and personalized dosing strategies by coupling a specific QL‐agent to each patient (QLind‐agents). …”
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235
Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management
Published 2022-01-01“…From the whole process of data mining, a data mining system is designed, which is “data preprocessing standardization + genetic algorithm feature selection + training set pruning + support vector machine classifier discrimination optimization.” …”
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236
Research on Discrete Dynamic System Modeling of Vocal Performance Teaching Platform Based on Big Data Environment
Published 2022-01-01“…The results show that the optimization model based on the deep recurrent neural network algorithm has the advantages of high feasibility, high intelligence, and wide range of applications. …”
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237
Trail-Using Ant Behavior Based Energy-Efficient Routing Protocol in Wireless Sensor Networks
Published 2016-04-01“…Swarm Intelligence (SI) observes the collective behavior of social insects and other animal societies. Ant Colony Optimization (ACO) algorithm is one of the popular algorithms in SI. …”
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238
Next generation network resource allocation method based on cooperative game and decision-making in advance
Published 2009-01-01“…It’s an important way to guarantee QoS for the next generation network（NGN） with diverse services by allo-cating resources reasonably and optimizing the efficiency of whole network according to diverse service styles.A net-work resource allocating method based on co-operative game theory for NGN was proposed and analyzed,and it had a weakness which brought about overgreat system costing.In order to overcome this weakness,an idea about deci-sion-making in advance was added,and an improved resource allocation algorithm was proposed,which could guarantee the efficiency of whole network best and reduce the system costing.Simulation results of this method show its validity.…”
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239
Research on Designing an Industrial Product-Service System with Uncertain Customer Demands
Published 2021-01-01“…The industrial product-service system (iPSS) is a kind of system engineering methodology, integration scheme, and business model to realize service value by adding intangible services in the whole life cycle. However, the design of the system involves many difficulties such as uncertain customer demands, strong subjectivity of the experience design, and long debugging times. …”
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240
Next generation network resource allocation method based on cooperative game and decision-making in advance
Published 2009-01-01“…It’s an important way to guarantee QoS for the next generation network（NGN） with diverse services by allo-cating resources reasonably and optimizing the efficiency of whole network according to diverse service styles.A net-work resource allocating method based on co-operative game theory for NGN was proposed and analyzed,and it had a weakness which brought about overgreat system costing.In order to overcome this weakness,an idea about deci-sion-making in advance was added,and an improved resource allocation algorithm was proposed,which could guarantee the efficiency of whole network best and reduce the system costing.Simulation results of this method show its validity.…”
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