Hybrid Ant Colony Algorithm Integrating Greedy Strategy and Genetic Algorithm Mutation Strategy
Enhanced Hybrid Ant Colony Optimization Algorithm Incorporating Greedy Selection and Genetic Mutation Strategies for Improved Solution Quality
Professional MATLAB source code with comprehensive documentation and examples
Enhanced Hybrid Ant Colony Optimization Algorithm Incorporating Greedy Selection and Genetic Mutation Strategies for Improved Solution Quality
Comprehension of genetic algorithm principles and their application in function minimization using optimization techniques such as crossover and mutation operations with code implementation insights
MATLAB implementation of Elman neural network featuring efficient computation time and straightforward programming structure
A PID tuning program developed by an Egyptian student using MATLAB's PSO implementation, featuring detailed usage instructions within code comments and demonstrating practical optimization techniques for control system design.
Updated October 10th Adaboost-based license plate localization MATLAB source code with improvements from the second upload. The implementation still requires substantial training time but includes integral image computation, Haar feature generation m
MATLAB implementation of multiple neural network architectures including perceptron networks, linear networks, backpropagation neural networks, and radial basis function networks with code-level explanations
A user-friendly SVM MATLAB toolbox designed for classification and regression tasks, featuring comprehensive examples and clear implementation demonstrations to facilitate understanding of support vector machine algorithms.
This program implements adaptive composite Simpson's rule integration with three MATLAB files: mainnaadaptsimpson
Development of longitudinal dynamic modeling and robust control strategies for autonomous vehicle acceleration/braking systems with PID implementation approaches
An enhanced optimization technique combining particle swarm intelligence with chaotic dynamics for improved global search capability and convergence performance.
A versatile MATLAB implementation of wavelet neural networks combining wavelet transformation and neural network algorithms for various signal processing applications.
MATLAB implementation of the CART (Classification and Regression Trees) algorithm for decision trees, featuring robust functionality and optimized performance for classification and regression tasks.
Simulated Annealing Particle Swarm Optimization - A practical and efficient implementation with comprehensive code structure and parameter tuning guidelines
MATLAB code for calculating weights using entropy weight method, complete with algorithm explanation and implementation details
SVM-KMExample provides extensive MATLAB implementations of Support Vector Machines, featuring rich case studies with practical datasets, complete with ready-to-run code and algorithm explanations.
A clustering algorithm integrating Genetic Algorithm (GA) with Simulated Annealing (SA) for enhanced optimization. By combining GA's population-based search and SA's probabilistic acceptance of suboptimal solutions, the algorithm effectively mitigate
Based on multi-agent consensus theory, an adjacency matrix is defined through the topological structure of multi-agent systems, enabling coordinated formation movement where multiple agents transition from dispersed initial positions to a predetermin
Mie Theory MATLAB Implementation for Analyzing Light Scattering Properties of Metallic Nanoparticles [Includes Complete MATLAB Source Code]
A practical study on combining and comparing Genetic Algorithms, Simulated Annealing, and Particle Swarm Optimization. Includes implementation insights and reusable code structure for easy adaptation.
MATLAB implementation of BP algorithm for neural networks - Original BP_matlab.rar file containing complete neural network training code with backpropagation algorithm implementation.