Explore MATLAB source code curated for "求解" with clean implementations, documentation, and examples.
Code-based solution for non-cooperative game theory that computes Nash equilibrium and derives optimal payoff functions for each player, incorporating algorithmic implementations and strategic analysis.
How to Develop MATLAB Programs Using Genetic Algorithm Toolbox Functions to Solve Real-World Optimization Problems
MATLAB source code for solving Vehicle Routing Problem (VRP) with 31 cities using Ant Colony Optimization algorithm, featuring parameter configuration, pheromone update mechanisms, and path optimization visualization.
MATLAB implementation of the MM algorithm for GMM parameter estimation, featuring unencrypted source code with detailed EM optimization process
A simulated annealing algorithm program written in MATLAB for solving the Traveling Salesman Problem (TSP), featuring temperature scheduling, neighbor solution generation, and probabilistic acceptance criteria implementations.
Comprehensive analysis of bifurcation diagram solutions for hyperchaotic systems, featuring detailed explanations and enhanced code implementation approaches for better readability and understanding
Implementation of genetic algorithm and particle swarm optimization for reliability optimization, featuring straightforward algorithmic approaches with practical code examples
MATLAB implementation for solving vehicle-bridge coupling problems with numerical simulation of moving loads on beams
Solving the Traveling Salesman Problem Using Enumeration Method
Genetic Algorithms Approach to Constrained Optimization: General Methodology, Encoding Design, and Implementation Framework