Framework for identifying cost-effective, optimal strategies for watershed pollutant reduction in the Chesapeake Bay Program's Phase 6 Watershed Model
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Updated
Nov 17, 2021 - Python
Framework for identifying cost-effective, optimal strategies for watershed pollutant reduction in the Chesapeake Bay Program's Phase 6 Watershed Model
🏄♂️ Multi-objective optimization framework for OpenFOAM, powered by BoTorch. Modular, optimizer-agnostic, cluster-native.
Parallel optimizer based on the Global Function Search
Python bindings for OptFrame C++ Functional Core
Python platform for parallel Surrogate-Based Optimization
The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.
A derivative-free solver for general nonlinear optimization.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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