Cargo Ship Container Loading Problem Using Greedy Algorithm in MATLAB

First, open the MATLAB Editor and input the program code provided in this file. Save the file to your current MATLAB directory with the filename zhuangxiang.m. The implementation utilizes a greedy algorithmic approach that systematically selects containers based on weight or size priorities to optimize cargo space allocation. Then, simply type "zhuangxiang" in the command window and press Enter. Follow the interactive prompts to input container specifications and ship capacity parameters, which will trigger the greedy algorithm to compute the optimal loading configuration. This program efficiently solves the cargo ship container loading problem using a greedy strategy that makes locally optimal choices at each step to achieve near-optimal global solutions. The algorithm works by sorting containers according to predefined criteria (such as weight descending order) and sequentially assigning them to available ship spaces while respecting capacity constraints. This MATLAB implementation saves significant time and effort by automating the complex optimization process, making it an effective tool for logistics planning and operational efficiency.