Abstract
Based on the alternative theorem, global optimality conditions for nonlinear programming problems to be discussed in this article. Firstly, on the basis of the research of optimality conditions for polynomial optimization problems, the paper considers nonlinear programming over constrains which are not real polynomial functions. And then necessary global optimality conditions for nonlinear programming problems with non-polynomial constraints functions are proposed and sufficient global optimality conditions for polynomial objective function programming problems with non-polynomial constraints functions are developed by using the alternative theorem. Finally, necessary and sufficient global optimality conditions for 0–1 quadratic programming problems are presented.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Kuhn HW, Tucker AW (1951) Nonlinear programming. University of California Press, California
Yang XQ (2004) Second-order global optimality conditions for optimization problems. J Glob Optim 30:271–284
Pinar MC (2004) Sufficient global optimality conditions for bivalent quadratic optimization. J Optim Theory Appl 122(2):433–440
Wu ZY (2007) Sufficent global optimality conditions for weakly convex minimization problems. J Glob Optim 39:427–440
Alexanders Strekalovsky (1998) Global optimality conditions for nonconvex optimization. J Glob Optim 12:415–434
Schichl H, Neumaier A (2006) Transposition theorems and qualification-free optimality conditions. SIAM J Optim 17:1035–1055
Wu ZY, Jeyakumar V, Rubinov AM (2007) Sufficent conditions conditons for global optimality of bivalent nonconvex quadratic programs with inequality constraints. J Optim Theory Appl 133:123–130
Jeyakumar V, Srisatkunarajah S, Huy NQ (2007) Kuhn-Tucker sufficiency for global minimum of multi-extremal mathematical programming problems. J Math Anal Appl 335:779–788
Beck A, Teboulle M (2000) Global optimality conditions for quadratic optimization problems with binary constraints. SIAM J Optim 11:179–188
Bienstock D (2018) LP formulations for polynomial optimization problems. SIAM J Optim 28(2):1121–1150
David Yang G, Changzhi W (2017) On the triality theory for a quartic polynomial optimization problem. J Ind Manag Optim 8(1):229–242
Qi L, Fei W, Wang Y (2009) Z-eigenvalue methods for a global polynomial optimization problem. Mathemat Programm 118(2):301–316
Jeyakumar V, Rubinov AM (2006) Sufficient global optimality conditions for non-convex quadratic minimization problems with box constraints. J Glob Optim 36:471–481
Chen W, Zhang LS (2010) Global optimality conditions for quadratic o-1 optimization problems. J Glob Optim 46:191–206
Fang SC, Gao DY, Sheu RL (2017) Canonical dual approach to solving 0–1 quadratic programming problems. J Ind Manag Optim 4(1):125–142
Hsia Y, Wang YP (2013) A new penalty parameter for linearly constrained 0 and C1 quadratic programming problems. Optimiz Lett 7:765–778
Wang C, Gao H (2019) Optimality conditions of multiobjective programming problems based on weakly convex. J Jilin University (Science Edition) 5:70–74
Jean-Pierre D, Jacques A, Lematre Bernard (1986) Convex quadratic programming with one constraint and bounded variables. Mathem Programm 36:90–104
Perkki AP, Pennanen T, Biagini S (2018) Duality and optimality conditions in stochastic optimization and mathematical finance. J Convex Analysis 25(2)
Jeyakumar V, Li GY (2011) Necessary gobal optimality conditions for nonlinear programming problems with polynomial constraints. Mathem Programm 126:393–399
Marshall M (2008) Positive Polynomials and Sums of Squares. Mathematical Surveys and Monographs https://doi.org/http://dx.doi.org/10.1090/surv/146 MathSciNet
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Zhong, H., Zheng, M., Chen, W. et al. Global optimality conditions for nonlinear optimization problems. Evol. Intel. 17, 291–301 (2024). https://doi.org/10.1007/s12065-022-00725-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12065-022-00725-y