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Enhancing performance of Parallel Hybrid Electric Vehicles using Powell's Artificial Bee Colony method. [PDF]

Heliyon
Shivappriya SN, Gowrishankar T, Stoian G, Anitha J, Hemanth DJ.   +4 more
europepmc   +1 more source

Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]

Sci Rep
Tobaly L, Yaniv E, Zalevsky Z.
europepmc   +1 more source

Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning. [PDF]

J Am Stat Assoc
Deng S, Ning Y, Zhao J, Zhang H.
europepmc   +1 more source

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Optimality Conditions for Minimax Optimization Problems with an Infinite Number of Constraints and Related Applications

Acta Mathematicae Applicatae Sinica, English Series, 2021
Optimization problems with an infinite number of constraints have recently been studied in many recent literatures. This paper deals with the optimality conditions for minimax optimization problems with an infinite number of constraints (MMOP) under the fulfilment of limiting constraint qualification.
Zhong, Li-nan, Jin, Yuan-feng
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Necessary optimality conditions for minimax programming problems with mathematical constraints

Optimization, 2017
In this paper, necessary optimality conditions in terms of upper and/or lower subdifferentials of both cost and constraint functions are derived for minimax optimization problems with inequality, equality and geometric constraints in the setting of non-differentiatiable and non-Lipschitz functions in Asplund spaces.
Truong, Bao Q, Khahn, P., Gupta, P.
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Optimality Conditions for Nondifferentiable Minimax Programs and Vector Optimization Problems

Journal of Optimization Theory and Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Duong Thi Kim Huyen, Do Sang Kim, Nguyen Dong Yen   +2 more
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Optimality Conditions at Infinity for Nonsmooth Minimax Programming Problems with Some Applications

Journal of Optimization Theory and Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nguyen Van Tuyen, Kwan Deok Bae, Do Sang Kim   +2 more
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Some Optimality Conditions for Minimax Problem

Pacific Journal of Optimization
Summary: Minimax problem has an important role in optimization, global optimization, game theory, and operations research. In [\textit{R. Enkhbat} and \textit{J. Enkhbayar}, Optim. Lett. 13, No. 3, 475--483 (2019; Zbl 1423.90273)], optimality conditions have been formulated for the maxmin problem.
Enkhbat, R., Battur, G.
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Second-Order Optimality Conditions in Minimax Optimization Problems

Journal of Optimization Theory and Applications, 2012
A finite-dimensional minimax problem \(\min_{x} \sup_{y\in Y} f(x,y)\) s.t. \(g(x)\in D\), \(h(x)=0\) with \(x\in \mathbb R^n\), \(Y\subset \mathbb R^m\) compact, \(D\subset \mathbb R^m\) closed with nonempty interior, \(f(\cdot,y),y\in Y\); \(g\); \(h\) \(C(1,1)\) functions is reformulated and dealt with cone constraint as infinite programming problem
Anulekha Dhara, Aparna Mehra
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Approximate optimality conditions for minimax programming problems

Optimization, 2009
In this article we study non-smooth Lipschitz programming problems with set inclusion and abstract constraints. Our aim is to develop approximate optimality conditions for minimax programming problems in absence of any constraint qualification. The optimality conditions are worked out not exactly at the optimal solution but at some points in a ...
Anulekha Dhara, Aparna Mehra
openaire   +1 more source