Explore MATLAB source code curated for "遗传算法" with clean implementations, documentation, and examples.
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.
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.
This complete and robust program implements a genetic algorithm solution for vehicle routing problems, featuring comprehensive optimization capabilities and production-ready code structure.
An enhanced particle filter program that replaces the traditional resampling process with genetic algorithm optimization for improved performance
A neural network algorithm improved through genetic algorithm optimization, widely applicable for data prediction and analytical tasks with enhanced pattern recognition capabilities
This approach utilizes genetic algorithms to optimize the weights and thresholds of a BP neural network, followed by comprehensive training to develop a predictive model. The process includes practical implementation examples with code-related enhancements.
A comprehensive example demonstrating genetic algorithm application for function optimization, featuring an integrated graphical user interface (GUI) for enhanced user interaction and parameter configuration.
Implementation of genetic algorithms for optimal power flow problems in power systems. The program consists of two main components: opf1 handles power flow model formulation, while gaopf serves as the main function to minimize fuel costs through evolutionary optimization techniques.
Implementation code of Artificial Fish Swarm Algorithm for solving optimization problems, featuring superior performance compared to genetic algorithms with key functions including prey, swarm, and follow behaviors
This MATLAB-based genetic algorithm program is designed for wind turbine blade optimization, featuring implementations of selection, crossover, and mutation operations with fitness evaluation functions. Collaboration and discussion are welcomed.