Volume 46 Issue 4
Apr.  2025
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LIU Ying, FU Xiaoheng, TANG Liping. Asymptotic Characterization of Non-Emptiness and Boundedness of Efficient Solution Sets for Nonconvex Multi-Objective Optimization Problems[J]. Applied Mathematics and Mechanics, 2025, 46(4): 519-527. doi: 10.21656/1000-0887.450235
Citation: LIU Ying, FU Xiaoheng, TANG Liping. Asymptotic Characterization of Non-Emptiness and Boundedness of Efficient Solution Sets for Nonconvex Multi-Objective Optimization Problems[J]. Applied Mathematics and Mechanics, 2025, 46(4): 519-527. doi: 10.21656/1000-0887.450235

Asymptotic Characterization of Non-Emptiness and Boundedness of Efficient Solution Sets for Nonconvex Multi-Objective Optimization Problems

doi: 10.21656/1000-0887.450235
Funds:

The National Science Foundation of China(11991024)

  • Received Date: 2024-08-22
  • Rev Recd Date: 2024-09-26
  • Available Online: 2025-04-30
  • The non-emptiness and boundedness of the solution sets of optimization problems play a crucial role in numerical algorithms. Based on asymptotic analysis, the non-emptiness and boundedness of the (proper) efficient solution sets for nonconvex multi-objective optimization problems under regularity conditions were obtained. Firstly, the inner and outer asymptotic estimations were established for the efficient solution sets and the properly efficient solution sets of nonconvex multi-objective optimization problems via asymptotic cones and asymptotic functions. Then, based on these estimates, the non-emptiness and boundedness of the efficient solution sets for nonconvex multi-objective optimization problems were characterized. Finally, some necessary conditions for the existence of efficient solutions to nonconvex multi-objective optimization problem were given.
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