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genetic-optimization-algorithm

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This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

  • Updated Mar 15, 2023
  • Jupyter Notebook
Duelist-Algorithm-Python

The goal of this project is to select an optimized container dimensions to load products that will reduce space wastage. By optimzing the total volume occupied by the products and their total weights, we seek the best orientation and position of the products during loading.

  • Updated Apr 7, 2022
  • Jupyter Notebook

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