Journal of Jilin University Science Edition ›› 2021, Vol. 59 ›› Issue (2): 257-262.

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Robust Approximate Optimality for a Class of Uncertain Semi-infinite Multi-objective Optimization Problems

MO Xiaoqing, SUN Xiangkai   

  1. Chongqing Key Laboratory of Social Economic and Applied Statistics, College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China
  • Received:2020-07-09 Online:2021-03-26 Published:2021-03-26

Abstract: We considered a class of semi-infinite multi-objective optimization problems with uncertain data. We first introduced a robust approximate Pareto weak efficient solution of the uncertain semi-infinite multi-objective optimization problem. Then, by means of a robust-type subdifferential constraint qualification and a class of generalized convexity assumptions, we gave necessary and sufficient optimality conditions for the robust approximate quasi Pareto weak efficient solution of the multi-objective optimization problem.

Key words: semi-infinite optimization problem, quasi Pareto weak efficient solution, generalized convexity

CLC Number: 

  • O221.6