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681
Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing
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682
Modified Particle Swarm Optimization for Engineering Optimization Problems and UAV Path Planning
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683
Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model
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684
Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning
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685
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686
Optimasi Biaya Distribusi pada HFVRP Menggunakan Algoritma Particle Swarm Optimization
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687
On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization
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688
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization
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689
Hybridisation of artificial neural network with particle swarm optimisation for water level prediction
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690
Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight
Published 2016-01-01Get full text
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691
A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification
Published 2014-01-01Get full text
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692
Detection of DDoS Attacks in SDN Switches with Deep Learning and Swarm Intelligence Approach
Published 2025-04-01Get full text
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693
A hybrid ensemble framework with particle swarm optimization for network anomaly detection
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694
Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
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695
Research on Synchronized Control Strategy of Drone Swarm Garage Side-Pulling Platform
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696
Strengthening Collaboration via Interlinked Skew Assessment and Rectification (ISAR) in Swarm Robotics
Published 2025-01-01“…Ensuring time synchronization among robotic agents in a IoT based swarm robotic system is crucial for smooth operations. …”
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697
Exploring the possibilities of MADDPG for UAV swarm control by simulating in Pac-Man environment
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698
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance
Published 2025-01-01“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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