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Multi-Objective Optimization as a Tool for Material Design

  • Zahed Allahyari
  • Artem R. Oganov
Living reference work entry

Abstract

In this chapter, we explain the concept of Pareto optimality and Pareto dominance and use these concepts in solving multi-objective (MO) optimization problems. Then, we discuss a few different MO optimization methods and show how MO optimization can be used as a tool for designing new materials. A simple Pareto-based MO optimization method is examined on a few practical case studies to assess how efficient is this method in optimizing double-objective problems.

Notes

Acknowledgments

We thank the Russian Science Foundation (grant 16-13-10459) and the “5 top 100” program of MIPT for the financial support.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Materials science and EngineeringSkolkovo Institute of Science and TechnologyMoscowRussia
  2. 2.Moscow Institute of Physics and TechnologyMoscowRussia
  3. 3.International Center for Materials DesignNorthwestern Polytechnical UniversityXi’anChina

Section editors and affiliations

  • Cai-Zhuang Wang
    • 1
  • Christopher M. Wolverton
    • 2
  1. 1.Ames Laboratory and Department of Physics and AstronomyIowa State UniversityAmesUSA
  2. 2.Northwestern UniversityEvanstonUSA

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