This is the designated repository for my Towards Data Science series/full course on Non-Classical Optimization. This this series I will cover four non-classical optimization algorithms: Hill Climber, Simulated Annealing, Beam Search, Leap Frog, and Bayesian Optimization. You can find the course overview below: https://towardsdatascience.com/non-classical-optimization-algorithms-full-course-overview-8ef7091905b0
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