Route planning, workforce scheduling, BOM part-pricing optimization, and real-time transit simulation depend on solid computer-science fundamentals: A* / heuristic graph search, dynamic programming, spatial indexing, and algorithmic complexity reduction from $O(N^2)$ to $O(N \log N)$.
If you want to hire a freelance algorithm optimization and graph search programmer, I am Aldian Fazrihady.
Algorithmic Engineering Case Studies
- Codemotion Event Ticket Optimization Challenge: Algorithmic Problem-Solving & Complexity Analysis
- Heuristic Search & State-Space Solvers: Eight Puzzle Heuristic Solver
- Real-Time Urban Rail Network Simulation: MRT Jakarta Traffic Simulation