π 2024-10-26 β Session: Explored Smart Scheduling Algorithms
π 15:20β15:50
π·οΈ Labels: Scheduling, Task Management, Algorithms, Productivity, Python
π Project: Business
β Priority: MEDIUM
Session Goal
The session aimed to explore smart scheduling algorithms to optimize MatΓasβs calendar and enhance task management efficiency.
Key Activities
- Discussed various smart scheduling algorithms and their role in task management.
- Explored the concept of heuristics in problem-solving, particularly in scheduling.
- Outlined the use of Genetic Algorithms and Constraint Programming as scheduling agents.
- Reflected on MatΓasβs daily schedule and task management strategy.
- Developed a structured approach to scheduling constraints.
- Implemented programmatic scheduling constraints using Python.
Achievements
- Gained insights into different scheduling algorithms and their applications.
- Developed a framework for implementing scheduling constraints programmatically.
Pending Tasks
- Further exploration of hybrid scheduling approaches combining Genetic Algorithms and Constraint Programming.