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581
Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error
Published 2020-01-01Get full text
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582
Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization
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583
Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization
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584
A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization
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585
The ADBPSO-LightGBM internal threat detection framework based on hybrid data balancing
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586
Developing and Implementing an Artificial Intelligence (AI)-Driven System For Electricity Theft Detection
Published 2024-09-01Get full text
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587
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588
Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling
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589
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590
Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO
Published 2025-07-01Get full text
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591
Sensor-layout Optimization of Autonomous Vehicle Based on Perceptual Area Coverage
Published 2020-01-01Get full text
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592
Machine Learning-Based Lithium Battery State of Health Prediction Research
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593
A Mobile Robot Path Planning Method Based on Dynamic Multipopulation Particle Swarm Optimization
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594
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595
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596
Dynamic Deployment for Hybrid Sensor Networks Based on Potential Field-Directed Particle Swarm Optimization
Published 2015-09-01Get full text
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597
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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598
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599
Next-Gen Connectivity: Exploring UAV Swarm Applications in Cell-Free Massive MIMO for IIoT
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600
Adaptive Traffic Lights Control System Using Deep Q-Network and Salp Swarm Optimization
Published 2025-01-01Get full text
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