Multi-Objective Optimization Using Genetic Algorithms
MATLAB-based development for multi-objective optimization using genetic algorithms with code implementation insights
Immune Genetic Algorithm Code Implementation with Detailed Documentation
Source code for immune genetic algorithm featuring comprehensive program annotations, genetic algorithm workflow explanation, and immune selection mechanisms. Includes practical implementation approaches and key function descriptions.
FLICM: A Fuzzy Local Information C-Means Clustering Algorithm with Enhanced Robustness
FLICM represents a recent advancement in fuzzy clustering, building upon traditional FCM methods with superior robustness and performance. This algorithm integrates local spatial information with fuzzy clustering principles, featuring improved noise
Novel Heuristic Algorithm - Bat Algorithm Implementation
MATLAB implementation of the innovative Bat Algorithm for production optimization problems, featuring swarm intelligence techniques and adaptive parameter control
Particle Swarm Optimization for Tuning PID Parameters
Particle swarm optimization program code for tuning PID controller parameters, featuring simplified implementation and practical applicability.
Genetic Algorithm Optimization for Linear Quadratic Optimal Control Weighting Matrices and Fuzzy Controller Scaling Factors
MATLAB m-file implementation for fitness function optimization using genetic algorithms: weighting matrix optimization for linear quadratic optimal control problems and scaling factor optimization for fuzzy controllers, featuring algorithm parameter
Resource Planning Using Genetic Algorithms
Implementing resource planning through genetic algorithms, which iteratively evolve to discover optimal resource allocation schemes through selection, crossover, and mutation operations
Particle Swarm Optimization for Radial Basis Function Neural Network Implementation Example
A comprehensive example demonstrating Particle Swarm Optimization applied to Radial Basis Function Neural Networks, including algorithm workflow, parameter selection, and performance evaluation techniques.
A Brief Implementation of the AdaBoost Algorithm
A concise programming overview of the AdaBoost algorithm, providing foundational guidance for training with effective code implementation insights.
Function Optimization Analysis Based on Gravitational Search Algorithm
The Gravitational Search Algorithm (GSA) is a novel heuristic optimization algorithm proposed by Esmat Rashedi and colleagues at Kerman University, Iran, in 2009. Inspired by the simulation of gravitational forces in physics, it belongs to the catego
MATLAB Implementation of PSO Benchmark Functions
PSO benchmark function code including unimodal and multimodal functions with optimization algorithm testing capabilities.
Standard Genetic Algorithm and Immune Algorithm Integration
MATLAB implementation of standard genetic algorithm and immune-genetic hybrid algorithm, featuring a main function that orchestrates various genetic operators to execute evolutionary operations efficiently.
Genetic Algorithm and Particle Swarm Optimization for Reliability Optimization Problems
Implementation of genetic algorithm and particle swarm optimization for reliability optimization, featuring straightforward algorithmic approaches with practical code examples
MATLAB Source Code for Ant Colony Optimization Algorithm
A comprehensive collection of twelve MATLAB source files implementing the Ant Colony Algorithm, featuring detailed code implementation and algorithmic explanations for optimization problems
Pattern Recognition MATLAB Toolbox
Pattern Recognition MATLAB Toolbox - Advanced Image and Signal Processing Algorithms for Machine Learning Applications
Road Detection Algorithm Using Support Vector Machine (SVM)
A road detection algorithm based on Support Vector Machine (SVM) designed for high-resolution remote sensing imagery, featuring machine learning-based classification implementation.
Source Code for Genetic Algorithm Optimized Wavelet Neural Network
Source code for genetic algorithm optimized wavelet neural network implementation: 1. Nonlinear function construction: Located in nninit_test.m (initialization script for test function generation). 2. Direct nonlinear approximation using WNN: Wnn_tes
Particle Swarm Optimization (PSO) Algorithm Implementation
Particle Swarm Optimization is a global optimization evolutionary algorithm that searches for optimal solutions through inter-particle cooperation and competition, implemented via velocity updates and position adjustments in multidimensional solution
Implementation of State-of-the-Art Imperialist Competitive Algorithm for Enhanced Wind Power Forecasting
Utilizing the advanced Imperialist Competitive Algorithm (ICA) to optimize initial weights and thresholds of BP neural networks for wind power prediction, featuring comprehensive datasets and practical examples with ICA serving as the main program.
Genetic Algorithm Optimization of Fuzzy Clustering Algorithm
Genetic Algorithm optimizes Fuzzy Clustering Algorithm to achieve global optimum and overcome sensitivity to initial values, with implementation insights on population initialization and fitness evaluation.