MATLAB Implementation of Genetic Algorithm with Comprehensive Code Examples
Extensive MATLAB code implementation of genetic algorithms for reference and study, featuring detailed optimization approaches and evolutionary computation techniques.
Finding Function Minimum Using Genetic Algorithm
An example demonstrating function minimization through genetic algorithm implementation, including selection, crossover, and mutation operations
Genetic Algorithm Toolbox Functions and Practical Example Explanation
MATLAB Genetic Algorithm Toolbox Functions and Case Study: Minimizing f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1^2+x2^2)))-exp(0.5*(cos(2πx1)+cos(2πx2)))+22.71282 within domain -5≤Xi≤5 (i=1,2) using optimization algorithms with code implementation details.
Job Shop Scheduling Using Genetic Algorithm - Practical Implementation Guide
A comprehensive guide to implementing genetic algorithms for job shop scheduling problems, including key implementation strategies and optimization techniques for industrial applications
Genetic Algorithm for Nonlinear Integer Programming
This MATLAB program implements a genetic algorithm (GA) specifically designed for solving nonlinear integer programming (NLIP) problems, featuring chromosome encoding, selection mechanisms, crossover operations, and mutation strategies tailored for integer constraints.
Reactive Power Optimization Using Genetic Algorithm
Implementation of reactive power optimization on a 12-node test case using genetic algorithm - ready-to-run with optimized results
MATLAB Program Integrating Genetic Algorithm with Power Flow Calculation
A MATLAB-implemented program combining genetic algorithm optimization with power flow analysis for electrical power systems
Genetic Algorithm and Particle Swarm Optimization Hybrid Algorithm
This MATLAB program implements a hybrid optimization approach combining Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), featuring significantly improved optimization efficiency and robust avoidance of local optima through integrated evolutionary and swarm intelligence mechanisms.
MATLAB Programming for Optimizing BP Neural Networks Using Genetic Algorithms
MATLAB implementation of BP neural network optimization through genetic algorithms, featuring parameter tuning and structural enhancements with practical code examples
Multi-Objective Optimization Example Using Genetic Algorithm
A comprehensive example of multi-objective optimization based on genetic algorithms, featuring practical implementations from the MATLAB toolbox with detailed code explanations