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Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints

Author

Listed:
  • Yarui Duan

    (Soochow University)

  • Liguo Jiao

    (Northeast Normal University)

  • Pengcheng Wu

    (Soochow University)

  • Yuying Zhou

    (Soochow University)

Abstract

This paper deals with a vector polynomial optimization problem over a basic closed semi-algebraic set. By invoking some powerful tools from real semi-algebraic geometry, we first introduce the concept called tangency varieties; obtain the relationships of the Palais–Smale condition, Cerami condition, M-tameness, and properness related to the considered problem, in which the condition of Mangasarian–Fromovitz constraint qualification at infinity plays an essential role in deriving these relationships. At last, according to the obtained connections, we establish the existence of Pareto solutions to the problem in consideration and give some examples to illustrate our main findings.

Suggested Citation

  • Yarui Duan & Liguo Jiao & Pengcheng Wu & Yuying Zhou, 2022. "Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints," Journal of Optimization Theory and Applications, Springer, vol. 195(1), pages 148-171, October.
  • Handle: RePEc:spr:joptap:v:195:y:2022:i:1:d:10.1007_s10957-022-02068-1
    DOI: 10.1007/s10957-022-02068-1
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    References listed on IDEAS

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    6. Jae Hyoung Lee & Nithirat Sisarat & Liguo Jiao, 2021. "Multi-objective convex polynomial optimization and semidefinite programming relaxations," Journal of Global Optimization, Springer, vol. 80(1), pages 117-138, May.
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