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Arctangent-Based Inertia Weight for Particle Swarm Optimization

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Detection and Diagnosis of Multi-Fault for through Silicon Vias in 3D IC
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A Review of Particle Swarm Optimization
inferredcites →https://doi.org/10.1016/j.asoc.2011.01.037openalex-extracted
A novel particle swarm optimization algorithm with adaptive inertia weight
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.018openalex-extracted
A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques
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A novel stability-based adaptive inertia weight for particle swarm optimization
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Adaptive particle swarm optimization for integrated quay crane and yard truck scheduling problem
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An improved artificial neural network based on human-behaviour particle swarm optimization and cellular automata
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A modified particle swarm optimization using adaptive strategy
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Multi-robot path planning in wireless sensor networks based on jump mechanism PSO and safety gap obstacle avoidance
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GEPSO: A new generalized particle swarm optimization algorithm
inferredcites →https://doi.org/10.1016/s1874-1029(11)60205-xopenalex-extracted
PSO with Adaptive Mutation and Inertia Weight and Its Application in Parameter Estimation of Dynamic Systems
inferredcites →https://doi.org/10.1109/access.2021.3049175openalex-extracted
Process Synthesis and Design Problems Based on a Global Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1109/access.2021.3059714openalex-extracted
A General Robot Inverse Kinematics Solution Method Based on Improved PSO Algorithm
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IDP: An Intelligent Data Prediction Scheme Based on Big Data and Smart Service for Soil Heavy Metal Content Prediction
inferredcites →https://doi.org/10.1109/icec.1998.699146openalex-extracted
A modified particle swarm optimizer
inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-extracted
Particle swarm optimization
inferredcites →https://doi.org/10.1109/nabic.2011.6089659openalex-extracted
Inertia Weight strategies in Particle Swarm Optimization
inferredcites →https://doi.org/10.1142/s0218001421510058openalex-extracted
An Efficient Particle Swarm Optimization with Multidimensional Mean Learning
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Adaptive-Uniform-Experimental-Design-Based Fractional-Order Particle Swarm Optimizer with Non-Linear Time-Varying Evolution
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A Novel Computation Method for Adaptive Inertia Weight of Task Scheduling Algorithm
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