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A Novel Algorithm for Enhancing Terrain-Aided Navigation in Autonomous Underwater Vehicles
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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty
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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm
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Optimized hybrid osprey with PSO control for improved VSC-HVDC-wind power integration
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A Mobile Robot Path Planning Method Based on Dynamic Multipopulation Particle Swarm Optimization
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Sigmoid-Function-Based Adaptive Pelican Optimization Algorithm for Global Optimization
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Dynamic Deployment for Hybrid Sensor Networks Based on Potential Field-Directed Particle Swarm Optimization
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Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model
Published 2022-01-01“…In view of these characteristics, this paper has conducted in-depth research to fully prove the feasibility and superiority of the content of this article. The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
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Adaptive Traffic Lights Control System Using Deep Q-Network and Salp Swarm Optimization
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Control and Stability Analysis of Double Time-Delay Active Suspension Based on Particle Swarm Optimization
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