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pyomo-library

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Pegah-Ardehkhani / Optimization-Problems-and-Solutions

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A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

python optimization modeling linear-programming pyomo cplex operations-research pulp r-programming integer-programming mixed-integer-programming stochastic-optimization non-linear-optimization optimization-modeling integer-linear-programming optimization-problem pulp-library pyomo-glpk optimization-solver pyomo-library
  • Updated Dec 10, 2024
  • Jupyter Notebook

Pegah-Ardehkhani / Combinatorial-Optimization

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A collection of algorithms and methods for solving combinatorial optimization problems, including techniques for TSP, Knapsack, and other NP-hard problems using heuristics, metaheuristics, and exact methods

optimization mst vrp pyomo heuristics optimization-tools tsp operations-research pulp knapsack-problem optimization-algorithms knapsack combinatorial-optimization shortest-path optimization-problem pulp-library combinatorial-problems pyomo-library
  • Updated Nov 24, 2024
  • Jupyter Notebook

ronaldkanyepi / Portfolio-Optimization-Pyomo

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This project optimizes stock portfolios by selecting up to 10 tickers and a custom date range. Using Pyomo for optimization, it minimizes risk while targeting a desired return. The app displays portfolio allocations, expected returns, risk ceilings, and stock correlation heatmaps, with data sourced from yfinance

python portfolio risk-analysis stock-market stock-price-prediction variance ticker stocks pyomo stock-data optimization-algorithms risk-management standard-deviation steamlit streamlit-webapp pyomo-library
  • Updated Dec 24, 2024
  • Python

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