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101
Time-Dependent Multi-Center Semi-Open Heterogeneous Fleet Path Optimization and Charging Strategy
Published 2025-03-01“…The self-organizing mapping network method is employed to initialize the EV routing, and an improved adaptive large neighborhood search (IALNS) algorithm is developed to solve the optimization problem. …”
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102
A new type of sustainable operation method for urban rail transit: Joint optimization of train route planning and timetabling
Published 2025-12-01“…To solve large-scale problems, an improved adaptive large neighborhood search algorithm (ALNS) is designed accordingly. …”
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103
Research on Vehicle Route Optimization for Half-Open Multi-Energy Urban Distribution Considering Order Priority
Published 2025-01-01“…On the basis of the sparrow search algorithm, Tent chaotic mapping is added and random key coding strategy is inserted for discretization, which increases the diversity of the initial population of the sparrow search algorithm and improves the algorithm’s global optimization seeking ability. …”
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104
Grouping control of electric vehicles based on improved golden eagle optimization for peaking
Published 2025-04-01“…Second, the design of IGEO has improved the global exploration and local development capabilities of the golden eagle optimizer (GEO) algorithm. …”
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105
Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction
Published 2025-12-01“…The model's hyperparameters are optimized by the Improved Whale Optimization Algorithm (IWOA), which improves search efficacy by including chaotic mapping, a nonlinear shrinkage factor, and a Levy flight strategy. …”
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106
Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm
Published 2015-01-01“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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107
Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method
Published 2014-01-01“…To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. …”
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108
Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy
Published 2025-01-01“…The aim of this paper is to present a new improved grey wolf optimizer (IGWO) to solve the optimal reactive power dispatch (ORPD) problem with and without penetration of renewable energy resources (RERs). …”
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109
Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults
Published 2025-07-01“…The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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110
Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images
Published 2025-07-01“…In practical applications for detecting indistinct boundary planting holes within complex scenarios, our algorithm consistently outperforms other detection networks with exceptional precision (F1-score = 0.95), low computational cost, rapid detection speed, and robustness, thus laying a solid foundation for advancing precision agriculture.…”
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111
Improved Crosstalk Reduction on Multiview 3D Display by Using BILS Algorithm
Published 2014-01-01“…Furthermore, an improved crosstalk reduction method is proposed to alleviate crosstalk by searching for the optimal integral intensity values of subpixels on the synthetic image. …”
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112
A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation
Published 2025-01-01“…In this design, the CAMC algorithm is optimized to fit the FPGA characteristics to further improve the performance, and the computing demands of which could be saved over 94% compared with other state-of-the-art designs. …”
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113
An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem
Published 2012-01-01“…An improved particle swarm optimization (PSO) algorithm is proposed for solving bilevel multiobjective programming problem (BLMPP). …”
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114
Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method
Published 2024-01-01“…In this research, the improved nondominant sorting genetic algorithm is proposed to solve the problem, and the results of the proposed method are also compared with the conventional genetic and particle swarm optimization algorithms. …”
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115
Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.
Published 2025-01-01“…We employed traditional hand-crafted features, such as Gray Level Co-occurrence Matrix (GLCM) features, in conjunction with traditional machine learning algorithms. To explore the potential of deep learning, we also optimized and implemented a Bidirectional Long Short-Term Memory (Bi-LSTM) network for lung cancer detection. …”
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116
Improved stereo matching network based on dense multi-scale feature guided cost aggregation
Published 2024-02-01“…To further improve the disparity prediction accuracy of stereo matching algorithm in the ill-posed regions such as repeating textures, no texture, and edge, an improved dense multi-scale feature guided aggregation network (DGNet) based on PSMNet was proposed. …”
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117
Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy
Published 2024-12-01“…Taking a Chinese village as an example, the proposed model is optimized with an improved particle swarm optimization algorithm. …”
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118
Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning
Published 2025-05-01“…The offline phase employs a novel Hybrid Crayfish Optimization and Self-Adaptive Differential Evolution Algorithm (COA-jDE) to minimize the cost function $$U_{offline}$$ , deriving optimal control parameters (Q, R) before real-time deployment. …”
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119
Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
Published 2025-03-01“…This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow prediction. …”
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120