Revision history [back]

One possible Python project that involves computing the best combination of highest points within a specified time frame is a scheduling optimizer for a sports team.

The algorithm would take into account the players' skills, fatigue levels, and availability, as well as the team's upcoming matches and their opponents' strengths and weaknesses.

The goal would be to create the best possible schedule that maximizes the team's chances of winning and minimizes the risk of injuries or burnout.

The algorithm would need to optimize for different criteria, such as the total number of points scored, the average score per game, or the number of wins and losses.

The scheduling optimizer could use different approaches, such as genetic algorithms, simulated annealing, or linear programming, depending on the complexity of the problem and the available data.