Python library for parallel multiobjective simulation optimization
Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relating observed indicator variables to actions, either real-valued or discrete.
Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.
Performance Comparison Between Base Simulators for Minecraft in Reinforcement Learning
A "farm" of multiobjective benchmark problems exhibiting real-world structure and corresponding ParMOO solver scripts
Optimization Of Extended Red Blood Cell Matching In Transfusion Dependent Sickle Cell Patients
Fintech web app for stock portfolio optimization using Modern Portfolio Theory with interactive charts, Monte Carlo simulation, and PDF reporting.
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