Explore MATLAB source code curated for "函数优化" with clean implementations, documentation, and examples.
Implementation of function optimization using Wolfe-Powell criterion with inexact line search method for optimal step size determination, featuring correct simulation results and detailed code implementation analysis.
This article provides an in-depth explanation of the principles and source code implementations for function optimization (supporting both constrained and unconstrained problems) and combinatorial optimization algorithms. The presented algorithms demonstrate exceptional computational efficiency and are suitable for practical applications. Additional genetic algorithm examples are included in the attachments for further research and algorithm study.
Source code implementation of a hybrid particle swarm cultural algorithm designed for solving function optimization problems, combining swarm intelligence with cultural evolution mechanisms.
This repository contains implementation code for various genetic algorithm approaches applied to function optimization. The code demonstrates key genetic operators including selection, crossover, and mutation techniques. For detailed explanations and tutorials, please refer to the included documentation. High-resolution tutorials are available upon request due to file size limitations.
This implementation utilizes quantum encoding for chromosome representation and employs genetic algorithm optimization techniques for function optimization, featuring quantum-bit encoding and genetic operators for solution space exploration.
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 function optimization with artificial immune clone algorithm, demonstrating effective performance through practical execution
Foreign-developed Bacterial Foraging Oriented Particle Swarm Optimization with MATLAB implementation for function optimization, featuring bio-inspired swarm intelligence techniques.
Source code implementing genetic algorithm for function optimization, calculates optimal solution and iteration count with detailed algorithmic implementation
A function optimization implementation using genetic algorithms to find minimum values, developed with MATLAB programming