MATLAB PSO Toolbox: Particle Swarm Optimization Toolkit with Code Implementation Tools
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Resource Overview
This MATLAB PSO toolbox download includes comprehensive particle swarm optimization tools: hiddenutils for underlying algorithms, nnet for neural network integration, testfunctions for benchmark testing, with Chinese installation documentation for easy setup
Detailed Documentation
This download provides the MATLAB Particle Swarm Optimization (PSO) toolbox, containing multiple practical modules including hiddenutils for core algorithm implementation, nnet for neural network optimization applications, and testfunctions with benchmark optimization problems for performance validation. The toolbox implements standard PSO algorithms with parameters like inertia weight and acceleration coefficients configurable through structured functions. Additionally, it includes Chinese installation documentation with step-by-step guidance for adding the toolbox path using MATLAB's addpath() function and verifying installation through test scripts. The package supports both basic PSO and advanced variants with features like velocity clamping and boundary handling implemented in modular functions.
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