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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

This python code is developed by Sreemannarayana Ikkurthi, as a part of course notes for the course 15AES477: Multidisciplinary Design Optimization (MDO). In support of Dr. Rajesh Senthil Kumar T., Assistant Professor, Department of Aerospace Engneering, Amrita Vishwa Vidyapeetham.

  • Updated Jun 19, 2020
  • Jupyter Notebook

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