Particle Swarm Optimization Code for Optimal Power Flow Calculation
Implementation of optimal power flow computation using Particle Swarm Optimization (PSO) algorithm with power system optimization capabilities
Chaos Particle Swarm Optimization (CPSO)
The Chaos Particle Swarm Optimization (CPSO) algorithm combines the rapid convergence traits of PSO with the ergodic randomness of chaos optimization. At each generation, CPSO performs additional chaotic searches around the optimal solution identifie
Multi-Agent Based Particle Swarm Optimization Algorithm
This MATLAB-implemented program extends traditional basic particle swarm optimization by incorporating multi-agent system concepts. The enhanced algorithm is specifically applied to electric power load distribution problems with comparative performan
Extreme Learning Machine: A Neural Network Simulation Approach
Extreme Learning Machine (ELM) is a neural network simulation technique that offers faster learning speeds compared to Backpropagation (BP) and Sequential Minimal Optimization (SVM), with simpler parameter configuration requirements.
Genetic Algorithm for Solving the Knapsack Problem
Implementing a genetic algorithm to solve the knapsack problem, including population initialization, crossover operations, mutation strategies, and penalty functions, with detailed code implementation approaches for effective constraint handling.
MATLAB Implementation of AP Clustering Algorithm
AP clustering algorithm implementation in MATLAB - an efficient clustering approach suitable for various data types with practical code examples
Backpropagation Neural Network for Prediction using MATLAB
A MATLAB implementation of BP neural network for predicting various types of data with detailed code structure and algorithm explanations
Comparison of Neural Network PID Control Performance vs Traditional PID Control
Implementation of neural network PID control method compared with traditional PID control, demonstrating superior precision through adaptive system modeling
BP Neural Network PID Parameter Tuning
BP neural network PID parameter tuning enables automatic adjustment of PID parameters through machine learning algorithms
BP Neural Network Implementation Code Example
A practical example demonstrating backpropagation neural network implementation using basic gradient descent algorithm for weight optimization
FIR Filter Design Using Genetic Particle Swarm and Chaotic Particle Swarm Optimization
FIR filter design using Genetic Particle Swarm Optimization (GPSO) and Chaotic Particle Swarm Optimization (CPSO) with performance comparison. The filter parameters are adjustable, enabling optimal solution discovery through evolutionary computation
Particle Swarm Optimization for Robot Path Planning with MATLAB Implementation
MATLAB algorithm implementation using Particle Swarm Optimization to solve robot path planning problems, featuring detailed code structure and optimization approach explanations
Chaos-Enhanced Ant Colony Optimization Algorithm
Chaos-Enhanced Ant Colony Optimization Algorithm and Its Application Research in Function Optimization
Enhanced Particle Swarm Optimization Algorithm for Constrained Optimization Problems
An improved particle swarm optimization algorithm designed to solve constrained optimization problems, featuring enhanced constraint-handling mechanisms and implementation strategies for better convergence performance.
Clustering Algorithm Based on Genetic Simulated Annealing Optimization
This implementation presents a clustering algorithm utilizing Genetic Simulated Annealing methodology. Detailed explanations and tutorials are included internally, though high-definition tutorials may require contacting the author via 1066146635@qq.c
Artificial Fish Swarm Algorithm MATLAB Implementation
This MATLAB implementation of the Artificial Fish Swarm Algorithm provides a practical demonstration of the algorithm's optimization capabilities, featuring comprehensive code structure with key functions for fish behavior simulation, including prey(
MATLAB Toolbox for Support Vector Machines
A comprehensive MATLAB toolbox for Support Vector Machines featuring classification, regression fitting functionalities, and detailed implementation insights - perfect for academic research and practical applications!
Source Code for RBF Neural Network-Based Wine Evaluation Model
Source code for RBF neural network evaluation model developed for the 2012 "Higher Education Cup" Mathematical Contest in Modeling wine quality assessment, including corresponding datasets and classical data preprocessing methods
Immune Algorithm Based on Immune Network Model
Source code implementation of an immune algorithm utilizing immune network model architecture, programmed in MATLAB for reference and research purposes
Implementing a Three-Layer BP Network Using Neural Network Toolbox
How to implement and simulate a three-layer Backpropagation (BP) network using MATLAB's Neural Network Toolbox, with detailed code implementation approaches and algorithm explanations.