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A Python-based module for solving supply chain optimization problems and generating time-series forecasts. This project implements the Transportation Problem using Linear Programming (PuLP) and applies Exponential Smoothing for forecasting time-series data.
A decision-making algorithm used for game playing and decision-making problems. This algorithm combines the power of Monte Carlo simulation with the depth of tree search to find the best move or action. This GitHub project implements MCTS in Kotlin to solve decision-making problems efficiently.