Optimization of decision-making paths and processes – the A* heuristic algorithm – Tomasz Dąbrowski | IT Systems & Web Solutions Architect | Wrocław

An interactive implementation of the A* algorithm that allows visual tracking of the process of finding the optimal path in a weighted graph. The project demonstrates how heuristic algorithms work and their practical application in process optimization – not only spatial, but also business and system-level.

The A* algorithm combines the actual cost of a transition (g) with a heuristic estimate of the path to the goal (h), effectively minimizing the total cost of a decision. The implementation runs directly in the browser and allows for dynamic changes to environment parameters.

Online demo:
https://dabrowski.pro/algorithms/a-star/

Project scope

Implementation of the A* algorithm in JavaScript
Visualization of the pathfinding process in real time
Generation of a graph with obstacles and variable density
Time measured using performance.now() to achieve high measurement precision
Presentation of function values:
g(x) – actual cost
h(x) – heuristic (Manhattan distance)
f(x) – decision function
Animation of the final path and analysis of the algorithm’s progress
Separation of the algorithm’s logic from the visual layer

Why does A* make sense in IT system design?

Although the A* algorithm is most often associated with navigation and games, its decision-making model translates perfectly to IT system architecture. In the context of business systems and data hubs:

node → document / record / process step
edge → transition between states (e.g., acceptance, integration)
cost g(x) → time, operational cost, number of dependencies
heuristic h(x) → business priority, risk, SLA
optimal path → most effective decision-making process
dead-end → formal error, missing data, unmet condition

My interest in algorithms, statistics, and selected artificial intelligence methods (including heuristic algorithms such as A*, time series analysis, and neural networks) translates directly into the way I design document flows, acceptance processes / ETL-ELT, system integration, data hub architecture and data warehouses – with an emphasis on minimizing cost, time, and operational risks.

Practical Applications (Architecture and Integration)

The algorithmic A* model finds applications in, among others, in: