Explore MATLAB source code curated for "最优解" with clean implementations, documentation, and examples.
Experiment Objective: Implement the branch and bound method in MATLAB to solve integer linear programming problems. Experiment Content: Apply the branch and bound algorithm to find the optimal solution for a given linear integer programming problem, including detailed implementation steps and code structure explanation.
Implementation and optimization of wolf pack algorithm using MATLAB intelligent control techniques for efficient global optimization solutions
Programming-based optimization solver using Interior Point Method, including MATLAB implementation code and technical documentation for calculating optimal solutions
Implementation of the simplex method for linear programming problems in standard form, producing optimal solutions and objective values with algorithmic enhancements
A simplex method implementation that displays optimal solutions, optimal values, and iteration counts with detailed algorithmic progression tracking
This implementation provides an optimal solution to the knapsack problem using dynamic programming, featuring file I/O operations for reading input from txt files - specifically designed for beginners to learn algorithm implementation and practical coding techniques.
Comprehensive MATLAB algorithms for optimization and path finding including Ant Colony Optimization, Greedy Algorithm, Hamiltonian Algorithm, Floyd Algorithm, Dijkstra Algorithm, Genetic Algorithm with code implementation details
Source code implementing genetic algorithm for function optimization, calculates optimal solution and iteration count with detailed algorithmic implementation
Implementation of cloud model-based algorithm with multi-dimensional optimization capabilities in standard search spaces, including 2D, 10D, and 30D configurations
To implement the cargo ship container loading problem solution, open MATLAB Editor and input the provided code. Save the file as zhuangxiang.m in your current MATLAB directory. Execute the program by typing "zhuangxiang" in the command window and pressing Enter. Follow the interactive prompts to input parameters and obtain the optimal solution using a greedy algorithm approach that efficiently packs containers while maximizing space utilization.