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.

Simulation Optimization and exploration Framework on the cloud: SOF

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

Code for experiments in paper: Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization

Solver for Blackbox Multiobjective Optimization Problems

A "farm" of multiobjective benchmark problems exhibiting real-world structure and corresponding ParMOO solver scripts

A global solver for constrained simulation optimization problems on integer lattices