Skip to main content
Log in

Convergence of Exponential Penalty Function Method for Variational Problems

  • Research Article
  • Published:
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Aims and scope Submit manuscript

Abstract

In this paper, we propose an exponential penalty function method in order to solve a constrained variational problem by transforming it into a sequence of unconstrained ones. Further, we analyze the relationship between the optimal solutions of the sequence of exponential penalized variational problems and that of the original constrained variational problem. The convergence of this exponential penalty method is also examined for variational problems. Numerical examples are provided to verify the obtained results and validate the efficient use of exponential penalty method for solving constrained variational problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Wu D, Gao H (2016) An adaptive particle swarm optimization for engine parameter optimization. Proc Natl Acad Sci India Sect A Phys Sci. https://doi.org/10.1007/s40010-016-0320-y

    Google Scholar 

  2. Abari FF, Hosseini M, Fardmanesh M (2017) Optimization of a/b-axis regions of YBCO thin film for sensor applications. Proc Natl Acad Sci India Sect A Phys Sci. https://doi.org/10.1007/s40010-017-0392-3

  3. Bargujer SS, Suri NM, Belokar RM (2017) Optimization of lead patenting process for high carbon steel wires. Proc Natl Acad Sci India Sect A Phys Sci 87:267–278

    Article  Google Scholar 

  4. Mohanty CS, Khuntia PS, Mitra D (2017) Design of stable nonlinear pitch control system for a jet aircraft by using artificial intelligence. Proc Natl Acad Sci India Sect A Phys Sci. https://doi.org/10.1007/s40010-017-0396-z

    Google Scholar 

  5. Hanson MA (1964) Bounds for functionally convex optimal control problems. J Math Anal Appl 8:84–89

    Article  MathSciNet  MATH  Google Scholar 

  6. Alvarez F (2000) Absolute minimizer in convex programming by exponential penalty. J Convex Anal 7:197–202

    MathSciNet  MATH  Google Scholar 

  7. Alvarez F, Cominetti R (2002) Primal and dual convergence of a proximal point exponential penalty method for linear programming. Math Program Ser A 93:87–96

    Article  MathSciNet  MATH  Google Scholar 

  8. Antczak T (2013) Saddle point criteria and the exact minimax penalty function method in nonconvex programming. Taiwan J Math 17:559–581

    Article  MathSciNet  MATH  Google Scholar 

  9. Antoni C, Pedrazzoli M (2014) Analysis of penalty parameters in binary constrained extremum problems. Taiwan J Math 18:809–815

    Article  MathSciNet  MATH  Google Scholar 

  10. Huang XX, Yang XQ (2002) Nonlinear Lagrangian for multiobjective optimization and applications to duality and exact penalization. SIAM J Optim 13:675–692

    Article  MathSciNet  MATH  Google Scholar 

  11. Huang XX, Yang XQ, Teo KL (2006) Convergence analysis of a class of penalty methods for vector optimization problems with cone constraints. J Glob Optim 36:637–652

    Article  MathSciNet  MATH  Google Scholar 

  12. Liu Q, Lin Z (2000) Solving the multiobjective programming problems via homotopy interior point method. Acta Math Appl Sin 23:188–194

    MATH  Google Scholar 

  13. Luong DX, An TV (2010) Penalty functions for the multiobjective optimization problem. J Math Sci Adv Appl 6:177–192

    MathSciNet  MATH  Google Scholar 

  14. Murphy FH (1974) A class of exponential penalty functions. SIAM J Control 12:679–687

    Article  MathSciNet  MATH  Google Scholar 

  15. White DJ (1984) Multiobjective programming and penalty functions. J Optim Theory Appl 43:583–599

    Article  MathSciNet  MATH  Google Scholar 

  16. Dem’yanov VF (2004) Exact penalty functions and problems of variation calculus. Autom Remote Control 65:280–290

    Article  MathSciNet  MATH  Google Scholar 

  17. Liu S, Feng E (2010) The exponential penalty function method for multiobjective programming problems. Optim Methods Softw 25:667–675

    Article  MathSciNet  MATH  Google Scholar 

  18. Jayswal A, Choudhury S (2014) Convergence of exponential penalty function method for multiobjective fractional programming problems. Ain Shams Eng J 5:1371–1376

    Article  Google Scholar 

  19. Zaslavski AJ (2009) Existence and stability of exact penalty for optimization problems with mixed constraints. Nonlinear Anal 71:3053–3062

    Article  MathSciNet  MATH  Google Scholar 

  20. Mandal P, Giri BC, Nahak C (2014) Variational problems and \(l_1\) exact exponential penalty function with \((p, r)-\rho -(\eta,\theta )\)-invexity. Adv Model Optim 16:243–259

    MATH  Google Scholar 

  21. Mond B, Husain I (1989) Sufficient optimality criteria and duality for variational problems with generalised invexity. J Austral Math Soc Ser B 31:108–121

    Article  MathSciNet  MATH  Google Scholar 

  22. Husain S, Gupta S, Mishra VN (2013) Graph convergence for the H(.,)-mixed mapping with an application for solving the system of generalized variational inclusions. Fixed Point Theory Appl 13:304. https://doi.org/10.1186/10.1186/1687-1812-2013-304

    Article  MathSciNet  MATH  Google Scholar 

  23. Husain S, Gupta S, Mishra VN (2013) An existence theorem of solutions for the system of generalized vector quasi-variational inequalities. Am J Oper Res 3:329–336

    Google Scholar 

  24. Husain S, Gupta S, Mishra VN (2013) Generalized H(:; :; :)-\(\eta\)-cocoercive operators and generalized set-valued variational-like inclusions. J Math 2013:1–10

  25. Deepmala (2014) A study on fixed point theorems for nonlinear contractions and its applications, Ph.D. thesis, Pt. Ravishankar Shukla University, Raipur (Chhatisgarh) India

  26. Mishra VN (2007) Some problems on approximations of functions in Banach spaces, Ph.D. thesis, Indian Institute of Technology, Roorkee-247 667, Uttarakhand, India

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sarita Choudhury.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jayswal, A., Choudhury, S. Convergence of Exponential Penalty Function Method for Variational Problems. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 89, 517–524 (2019). https://doi.org/10.1007/s40010-018-0485-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40010-018-0485-7

Keywords

Mathematics Subject Classification

Navigation