Showing 1,121 - 1,140 results of 7,642 for search '(( improved model optimization algorithm ) OR ( improve most optimization algorithm ))', query time: 0.27s Refine Results
  1. 1121

    Resource optimization algorithm of combination of NFV and SDN for application of multiple services by Xiaorong ZHU, Qian ZHANG

    Published 2018-11-01
    “…Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.…”
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  2. 1122

    Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm by FengJun Hu, Qian Zhang, Gang Wu

    Published 2020-01-01
    “…The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. …”
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  3. 1123

    A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

    Published 2022-01-01
    “…To improve the accuracy of soil heavy metal content prediction, this study proposes a dynamic neural network optimization model (DNNOM). …”
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  4. 1124

    Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

    Published 2025-08-01
    “…In this paper, we deal with the use of the earthworm optimization algorithm (EOA) in foraging to estimate and extract the intrinsic electrical parameters of single-, double-, and triple-diode solar cells and photovoltaic modules across different technologies. …”
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  5. 1125

    Optimization of the Offshore Wind Turbines Layout Using Cuckoo Search Algorithm by Ibrahim Abdulwahab, Solomon Andrew Onazi, Gideon Rimamfate, Akande Abdulwasiu, Abubakar Umar, N.A Iliyasu

    Published 2024-06-01
    “…After-which a cuckoo search algorithm technique is employed in the wind farm model to optimize the optimization problem (minimizing the wake effect while improving power output and cost). …”
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  6. 1126

    Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions by Chi Hua, Liang Kuang, Dechang Pi

    Published 2020-01-01
    “…The proposed study is also applicable to multiple PV plants, multiple maintainers, multipoint departure, different dispatching conditions, and cost considerations. We propose an MOOA algorithm to solve this issue, and we strongly believe that, by defining a suitable fitness function, the convergence speed and optimization ability can be greatly improved, and this study puts a forward step.…”
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  7. 1127

    A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones by Hao Li, Yun Pu, Lingjuan Chen, Yu Wang

    Published 2022-01-01
    “…Traffic flow optimization and trajectory guidance in merging zones have significant implications for improving capacity and reducing time consumption. …”
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  8. 1128

    A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams by Youzhi Liu, Linshu Huang, Xu Xie, Huijuan Ye

    Published 2025-06-01
    “…The algorithm enhances global search capability through the introduction of a quantum potential well model, while incorporating adaptive mutation operations to prevent premature convergence, thereby improving optimization accuracy during later iterations. …”
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  9. 1129

    An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection by SHIBing, GAOZelin, SUNYueping, HUANJuan, SUNTao

    Published 2024-10-01
    “…This protocol initially employs the root mean square (RMS) of distance within the energy consumption model to determine the optimal number of cluster heads. …”
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  10. 1130
  11. 1131

    Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

    Published 2021-05-01
    “…We name it as “Adaptive Neighbourhood for Locally and Globally Tuned Biogeography Based Optimization algorithm (ANLGBBO)”. This maintains the balance between intensification and diversification i.e., improve solution by exploiting the accumulated search space and exploring the large space by identifying regions with high quality solutions. …”
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  12. 1132

    Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning by Fujie Ren, Haibin Liu

    Published 2024-11-01
    “…To improve the quality of the model solutions, a MachineRank algorithm (MR) is proposed, and based on the MR algorithm, seven composite scheduling rules are introduced. …”
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  13. 1133

    Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

    Published 2025-03-01
    “…The model parameters are optimized by the two-dimensional coordinates (c and g) of the particle swarm algorithm to adapt to the given training sample set. …”
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  14. 1134
  15. 1135

    A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

    Published 2025-05-01
    “…In this study, Bidirectional Gated Recurrent Unit was employed, since there were two polarities, including positive and negative. Then, it was optimized by the Enhanced Human Evolutionary Optimization (EHEO) algorithm, hence improving the hyperparameters. …”
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  16. 1136

    Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. by Naima Agouzoul, Aziz Oukennou, Faissal Elmariami, Mohamed Ebeed, Jamal Boukherouaa, Rabiaa Gadal, Mokhtar Aly, Emad A Mohamed

    Published 2025-01-01
    “…Improvement performance of transmission systems is crucial task that can be boosted via optimal reactive power dispatch (ORPD). …”
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  17. 1137

    Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems by Muhammet Demirbas, Serhat Duman, Burcin Ozkaya, Yunus Balci, Deniz Ersoy, M. Kenan Döşoğlu, Ugur Guvenc, Bekir Emre Altun, Hasan Uzel, Enes Kaymaz

    Published 2025-06-01
    “…The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration–exploitation and improves the solving of high-dimensional optimization problems. …”
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  18. 1138

    Cycle Polling Algorithm Optimization andSimulation Research of MVB Network by WANG Tao, WANG Li-de, ZHOU Jie-qiong

    Published 2013-01-01
    “…According to the immune-genetic algorithm,an optimization was delivered with a series of mathematical modeling work.This algorithm contributed to effectively avoid the degenerationof antibody fitness, and gain the targets of optimal solution for period pollingtable and great improvement in periodic data load uniformity.Besides,a network segment of MVB was established on OPNET Modeler with one master and several slaves,and the simulation resultsproved the effectiveness of the optimized solution.…”
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  19. 1139

    Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

    Published 2025-12-01
    “…Specifically, the RF algorithm achieved an accuracy of 0.9690, while the SVM algorithm attained an accuracy of 0.9587 in State 1, making them the most effective models in this setting. …”
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  20. 1140