Excellent Clustering Toolkit for MATLAB
A high-quality clustering toolkit developed in MATLAB, ideal for scientific research applications with comprehensive algorithm implementations and customization options
MATLAB Source Code for Ant Colony Optimization Algorithm
A complete MATLAB implementation of Ant Colony Optimization algorithm - ready to use after adding to MATLAB directory with included algorithm introduction
Solving Vehicle Routing Problem Using Genetic Algorithm
This complete and robust program implements a genetic algorithm solution for vehicle routing problems, featuring comprehensive optimization capabilities and production-ready code structure.
NSGA-II Multi-Objective Optimization Algorithm
A genetic algorithm implementation for solving multi-objective optimization problems with Pareto optimal solutions
MATLAB Implementation of Simulated Annealing Algorithm with Case Studies
Implementation code for simulated annealing algorithm featuring concrete case analysis. The program structure can be modified according to specific requirements, with detailed explanations of key parameters, temperature scheduling functions, and neig
MATLAB Implementation of Genetic Algorithm
This MATLAB genetic algorithm code is a classical implementation inherited from a graduated senior, featuring comprehensive genetic operations including selection, crossover, and mutation for optimization problems.
Fetal ECG Signal Extraction Using RBF, BP, and ANFIS Artificial Neural Networks
MATLAB source code for fetal ECG signal extraction based on RBF (Radial Basis Function), BP (Backpropagation), and ANFIS (Adaptive Neuro-Fuzzy Inference System) artificial neural networks with algorithm implementation details
BP Neural Network for Classification Tasks
MATLAB implementation of BP neural network for classification problems, customizable through parameter modification for various applications
Neural Network Design Case Study: Implementation of Minimum Variance Control Algorithm
Neural Network Design Case Study with Code Implementation Examples
Genetic Algorithm Optimization of BP Neural Networks
Implementation of Genetic Algorithm-Optimized BP Neural Networks for Nonlinear System Fitting in MATLAB, combining evolutionary optimization principles with neural network training to enhance predictive performance.
Particle Swarm Optimization (PSO) Algorithm
Particle Swarm Optimization (PSO) is an evolutionary computation technique inspired by the social behavior of bird flocking during foraging. Similar to genetic algorithms, PSO is an iterative optimization tool that initializes a population of random
Enhancing Clustering Performance Using PSO Optimization Algorithm
Optimizing clustering performance by integrating Particle Swarm Optimization (PSO) algorithm with clustering techniques to improve pattern discovery and cluster quality.
MATLAB Source Code for Pattern Recognition and Clustering Algorithms
MATLAB-implemented source files for pattern recognition and clustering, featuring comprehensive implementations of major clustering algorithms with configurable parameters and optimization options
Ant Colony Algorithm for Clustering Problems with Known Cluster Numbers
Application of ant colony algorithm for clustering with predetermined cluster numbers and task allocation problems, featuring implementation approaches using heuristic optimization techniques.
Simple Classifier Based on Error Backpropagation (BP) Neural Network
A MATLAB-implemented simple classifier using Error Backpropagation (BP) Neural Network with enhanced code-level insights.
MATLAB Source Code for Basic Particle Swarm Optimization (PSO) Algorithm
This repository contains fundamental MATLAB source code implementing the Particle Swarm Optimization algorithm. While intentionally simplified for educational purposes, the implementation provides a clean foundation for customization and extension to
Standard Particle Swarm Optimization for Solving Nonlinear Equations with MATLAB Implementation
Implementation of standard particle swarm algorithm for solving nonlinear equations using MATLAB, complete with simulation results and performance analysis
Motor Parameter Identification Using Genetic Algorithm
Implementation of motor parameter identification based on genetic algorithm, entirely coded using MATLAB M-files with comprehensive algorithm explanation and function descriptions.
Genetic Algorithm for Job Shop Scheduling Problem - MATLAB Implementation
A versatile MATLAB program implementing genetic algorithm for job shop scheduling problems, featuring robust optimization capabilities with customizable parameters and efficient solution finding.
Discrete Particle Swarm Optimization Algorithm for Solving the Knapsack Problem
A discrete particle swarm optimization program for solving the knapsack problem, using 0-1 binary encoding scheme with immediate execution capability. Features particle position updates, velocity calculations, and fitness evaluation functions.