📅 2024-10-26 — Session: Explored Smart Scheduling Algorithms for Task Management
🕒 15:20–16:30
🏷️ Labels: Scheduling, Task Management, Algorithms, Python, Optimization
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal: The session aimed to explore smart scheduling algorithms to optimize Matías’ calendar and enhance task management efficiency.
Key Activities:
- Explored various smart scheduling algorithms, including genetic algorithms and constraint programming, to optimize task management based on priorities and constraints.
- Discussed the role of heuristics in problem-solving for scheduling, highlighting techniques like priority-first scheduling and time-blocking.
- Reviewed the use of Google OR-Tools and Pulp/CPLEX for flexible constraint-based scheduling and linear programming.
- Developed a structured approach for implementing scheduling constraints using Python, focusing on hard and soft constraints.
- Outlined a step-by-step approach to structuring a dataset for optimization with Google OR-Tools.
Achievements:
- Gained insights into the mechanisms of various scheduling algorithms and their practical applications.
- Established a framework for implementing scheduling constraints programmatically.
Pending Tasks:
- Implement and test the discussed scheduling algorithms in a real-world scenario to validate their effectiveness.
- Further explore machine learning integration for dynamic scheduling optimization.