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921
Research on Pose Error Modeling and Compensation of Posture Adjustment Mechanism Based on WOA-RBF Neural Network
Published 2024-11-01“…Therefore, a compensation method based on the whale optimization algorithm optimized radial basis function neural network is proposed. …”
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922
Swarm Intelligence Algorithms for Optimization Problems a Survey of Recent Advances and Applications
Published 2025-01-01“…For many years swarm intelligence (SI) algorithms have shown successful performance for complex optimization problems in many fields. …”
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923
The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader
Published 2025-06-01“…This paper presents an analysis of existing motor grader blade equipment designs, develops an engineering methodology optimization algorithm, and examines the main stages of its implementation, including modeling, iterative optimization procedures, and experimental validation. …”
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924
Improving EEG based brain computer interface emotion detection with EKO ALSTM model
Published 2025-07-01Get full text
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925
An Improved Adaptive Car-Following Model Based on the Unscented Kalman Filter for Vehicle Platoons’ Speed Control
Published 2025-07-01“…This study proposes an adaptive car-following model based on the unscented Kalman filter algorithm to enable coordinated speed control in vehicle platoons and to address key limitations present in conventional car-following models. …”
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926
Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft
Published 2024-11-01“…Considering the thickness and uniformity of the adhesive layer as the objectives, the improved algorithm was used to optimize the prediction model to obtain the optimal process parameters. …”
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927
Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines
Published 2025-07-01“…A comparative analysis is conducted on enterprise operational costs and passenger travel costs before and after the stop plan optimization. [Result & Conclusion] The stop plan verifies the effectiveness of the proposed model and algorithm. …”
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928
Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms
Published 2025-01-01“…The model output response is improved after adjusting the PID controller in line with optimization algorithms as compared with the conventional PID controller. …”
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929
Research on Parallel Multi-objective Optimal Submarine Cable Route Planning Algorithm
Published 2025-04-01“…【Methods】In this paper, the grid map of the target sea area is divided into multiple grid subgraphs by the idea of divide and conquer, and a parallel multi-objective optimization submarine cable route algorithm model is established, and the key parameters of the model are optimized. …”
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930
Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning
Published 2025-03-01“…Specifically, competitive and supportive behaviors are mathematically modeled to enhance particle learning strategies and improve global search capabilities in the mid-optimization phase. …”
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931
Optimization of Flexible Rotor for Ultrasonic Motor Based on Response Surface and Genetic Algorithm
Published 2024-12-01“…This paper presents an optimization method that combines the Kriging response surface model with a multi-objective genetic algorithm (MOGA). …”
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932
Multi-objective optimization and characteristic analysis of contra-rotating fan double-row blades coupling
Published 2025-07-01“…The sample set data is used to construct a neural network surrogate model, and the weights and thresholds of the neural network are optimized in combination with the genetic algorithm to improve the generalization ability of the surrogate model. …”
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933
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934
Joint beam hopping and coverage control optimization algorithm for multibeam satellite system
Published 2023-04-01“…To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the system throughput and minimizing the packet loss rate of the MBS.Secondly, the MBS environment was characterized as a multi-dimensional matrix, and the objective problem was modelled as a Markov decision process considering stochastic communication requirements.Finally, the objective problem was solved by combining the powerful feature extraction and learning capabilities of deep reinforcement learning.In addition, a single-intelligence polling multiplexing mechanism was proposed to reduce the search space and convergence difficulty and accelerate the training of BHCC.Compared with the genetic algorithm, the simulation results show that BHCC improves the throughput of MBS and reduces the packet loss rate of the system, greedy algorithm, and random algorithm.Besides, BHCC performs better in different communication scenarios compared with a deep reinforcement learning algorithm, which do not consider the adaptive beam coverage.…”
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935
Prediction and optimization of robot processing technology based on neural network and genetic algorithm
Published 2025-04-01“…The optimal process parameter combination determined through genetic algorithm optimization is a radial cutting depth of 2.28 mm, an axial cutting depth of 2.98 mm, a spindle speed of 9 586.65 r/min and a feed rate of 2 207.67 mm/min. …”
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936
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937
Aerodynamic Shape Optimization of a Missile Using a Multiobjective Genetic Algorithm
Published 2020-01-01“…Multiobjective Genetic Algorithm (MOGA) was used to optimize missile geometry. …”
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938
ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners
Published 2025-01-01“…We aim at solving the problems of scarcity, single type, low accuracy and difficult construction of high‐quality data sets available for air conditioning operation characteristic models at present. This paper proposes a construction method of air conditioning operation characteristic model based on an improved seagull optimization algorithm to optimize deep belief network (ISOA‐DBN). …”
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939
A low-carbon optimization scheduling method of CIES based on PPO algorithm
Published 2024-11-01“…The tiered carbon trading mechanism and optimization scheduling model solving algorithm are pivotal for the community integrated energy system (CIES). …”
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940
Optimizing Deep Learning Algorithms for Effective Chicken Tracking through Image Processing
Published 2024-08-01Get full text
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