Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2014 / Cilt: 4 - Sayı: 1

Vector optimization with cone semilocally preinvex functions

Pages
11–20
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

A Mond-Weir type dual is formulated for the vector optimization problem and various duality theorems are proved

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper we introduce cone semilocally preinvex, cone semilocally quasi preinvex and cone semilocally pseudo preinvex functions and study their properties.
📊
Key Findings & Data:These functions are further used to establish necessary and sufficient optimality conditions for a vector minimization problem over cones.
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Conclusion & Impact:A Mond-Weir type dual is formulated for the vector optimization problem and various duality theorems are proved
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper we introduce cone semilocally preinvex, cone semilocally quasi preinvex and cone semilocally pseudo preinvex functions and study their properties. These functions are further used to establish necessary and sufficient optimality conditions for a vector minimization problem over cones. A Mond-Weir type dual is formulated for the vector optimization problem and various duality theorems are proved

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Cite This Article

SUNEJA, S. K., BHATİA, M. (2022). Vector optimization with cone semilocally preinvex functions. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 4 - Sayı: 1, 11–20. https://ajindex.com/articles/440722

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References (16)

  1. Ewing G.M., Sufficient Conditions for Global Minima of Suitable Convex Functional from Variational and Control Theory. SIAM Review 19, 202-220 (1977)
  2. Illes, T., Kassay, G., Theorems of the Alternative and Optimality Conditions for Convexlike and General Convexlike Programming. Journal of Optimization Theory and Applications 101(2), 243-257 (1999)
  3. Kaul, R.N., Kaur, S., Generalization of Convex and Related Functions. European Journal of Operational Research 9, 369- 377 (1982)
  4. Kaul, R.N., Kaur, S., Sufficient Optimality Conditions using Generalized Convex Functions. Opsearch 19, 212-224 (1982)
  5. Kaul, R.N., Kaur, S., Generalized Convex Functions, Properties, Optimality and Duality. Technical Report, SOL., 84-4, Stanford University, California (1984)
  6. Kaul, R.N., Lyall, V., Kaur, S., Semilocal Pseudolinearity and Efficiency. European Journal of Operational Research 36, 402- 409 (1988)
  7. Kaur, S., Theoretical Studies in Mathematical Programming. Ph.D. Thesis, University of Delhi, Delhi, India (1983)
  8. Gupta, I., Vartak, M.N., Kuhn-Tucker and Fritz John Type Sufficient Optimality Conditions for Generalized Semilocally Convex Programs. Opsearch 26, 11-27 (1989)
  9. Mukherjee, R.N., Mishra, S.K., Multiobjective Programming with Semilocally Convex Functions. Journal of Mathematical Analysis and Applications. 199, 409-424 (1996)
  10. Preda, V., Optimality Conditions and Duality in Multiobjective Programming Involving Semilocally Convex and Related Functions. Optimization 36, 219- 230 (1996)
  11. Preda, V., Optimality and Duality in Fractional Multiobjective Programming involving Semilocally Preinvex and Related Functions. Journal of Mathematical Analysis and Applications 288, 365-382 (2003)
  12. Preda V., Stancu-Minasian, J.M., Duality in Multiobjective Programming involving Semilocally Preinvex and Related Functions. Glas. Math. 32, 153-165 (1997)
  13. Stancu-Minasian, J.M., Optimality and Duality in Fractional Programming involving Semilocally Preinvex and Related Functions. Journal of Information and Optimization Science 23, 185-201 (2002)
  14. Suneja, S.K., Gupta, S., Duality in Nonlinear Programming involving Semilocally Convex and Related Functions. Optimization 28, 17-29 (1993)
  15. Suneja, S.K., Gupta, S., Vani, Optimality and Duality in Multiobjective Nonlinear programming involving  -Semilocally Preinvex and Related Functions. Opsearch 44(1), 27-40 (2007)
  16. Weir, T., Programming with Semilocally Convex Functions.