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Project for the Global Optimization course at Sapienza University of Rome in 2015. The project involves the use of multiobjective optimization for the optimal design of a disk brake.

Python 100.00%

go2015-project's Introduction

GO2015-project

Table of contents

General info

My project for the Global Optimization course (fall 2015). The project involves the multiobjective optimization for the optimal design of a disk brake based on this paper. The objective was to find a strategy to improve the performance of the NSGA-2 algorithm. This has been achieved by hybridizing the NSGA-2 with a global mixed integer optimization solver (MIDACO), once the multiobjective problem has been transformed as a single objective one by applying the epsilon-constraint method.

Technologies

  • Python version: 2.7
  • Pygmo
  • MIDACO

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