Routing Simulation Based on Greedy Algorithm and Right-Hand Rule

Resource Overview

This routing simulation program employs a combination of greedy algorithms and the right-hand rule for navigation, featuring parameter-adjustable implementations and visual demonstrations for educational purposes.

Detailed Documentation

This document presents a routing simulation program developed using greedy algorithms in combination with the right-hand rule. The implementation utilizes heuristic-based path selection (greedy approach) and directional prioritization (right-hand rule) to demonstrate efficient routing strategies. Users can modify parameters such as node density, obstacle configurations, and algorithm weights to observe varying simulation outcomes. The code structure includes modular functions for route calculation, visualization, and performance metrics analysis. Detailed usage guidelines and demonstration videos are provided to help beginners understand core concepts like local optimization techniques and maze-solving algorithms. This resource serves as a practical educational tool for studying routing protocols, greedy algorithm applications, and spatial navigation principles.