Acta mathematica scientia,Series B ›› 2019, Vol. 39 ›› Issue (2): 382-394.doi: 10.1007/s10473-019-0204-8

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THE CHARACTERIZATION OF EFFICIENCY AND SADDLE POINT CRITERIA FOR MULTIOBJECTIVE OPTIMIZATION PROBLEM WITH VANISHING CONSTRAINTS

Anurag JAYSWAL, Vivek SINGH   

  1. Department of Applied Mathematics, Indian Institute of Technology(Indian School of Mines), Dhanbad 826 004, Jharkhand, India
  • Received:2018-03-29 Revised:2018-09-24 Online:2019-04-25 Published:2019-05-06
  • Contact: Vivek SINGH E-mail:viveksingh.25jun@gmail.com
  • Supported by:
    The research of the first author was financially supported by the CSIR, New Delhi, India through Grant no.:25(0266)/17/EMR-Ⅱ.

Abstract: In this article, we focus to study about modified objective function approach for multiobjective optimization problem with vanishing constraints. An equivalent η-approximated multiobjective optimization problem is constructed by a modification of the objective function in the original considered optimization problem. Furthermore, we discuss saddle point criteria for the aforesaid problem. Moreover, we present some examples to verify the established results.

Key words: multiobjective optimization problem with vanishing constraints, efficient solution, invexity, η-Lagrange function, saddle point

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