Do you want to know how much daily exercise is optimal? If yes, please join me in this session of “Solving real-world optimization problems using AI”. In this talk, I will talk about the optimization problems and what makes them some of the most difficult problems to solve. I will also discuss different approaches & algorithms I have used to solve these optimization problems. Particularly I will talk about approaches like linear programming, genetic algorithm, simulated annealing, and reinforcement learning. I will highlight the advantages and challenges of these different algorithms and which are most effective in what kind of problems.
Key Takeaways for the Audience:
- Basics of optimization problems
- Different algorithms to solve such problems. Advantages and challenges with different algorithms
- Key challenges in solving such problems
- Some real-world use cases