Results 31 to 40 of about 436 (146)
On second order duality for nondifferentiable minimax fractional programming problems involving type-I functions [PDF]
, 2014 We introduce second order \((C,\alpha ,\rho ,d)\) type-I functions and formulate a second order dual model for a nondifferentiable minimax fractional programming problem. The usual duality relations are established under second order \((F,\alpha ,\rho ,d)
Gupta, S. K., Dangar, D., Ahamd, I.
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Electronics Letters, Volume 62, Issue 1, January/December 2026.This paper introduces a heterogeneous graph attention‐enhanced deep reinforcement learning‐based scheduling framework designed to instantaneously generate high‐quality production plans for production scheduling in cloud manufacturing. The proposed framework has been tested on multiple public datasets and industrial instances, and compared against ...
Shiduo Ning +5 more
wiley +1 more source
Non-differentiable second order symmetric duality in mathematical programming with F-convexity [PDF]
, 2003 A pair of Wolfe type non-differentiable second order symmetric primal and dual problems in mathematical programming is formulated. The weak and strong duality theorems are then established under second order F-convexity assumptions.
Yang, XM +4 more
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IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.A data‐driven scene generation method based on GAN is proposed. A multi‐timescale three‐layer collaborative scheduling architecture is constructed. A centralised‐distributed two‐layer optimisation scheduling architecture is designed. ABSTRACT To address the issues of source‐load imbalance and multi‐timescale mismatch caused by the high penetration of ...
Chenglong Li +5 more
wiley +1 more source
IET Smart Grid, Volume 9, Issue 1, January/December 2026.To support the ‘Dual Carbon’ strategy, this paper proposes a bilevel optimisation model for distributed energy storage configuration considering wind‐solar uncertainty and carbon trading. Using SNGAN and K‐means for scenario generation, the model minimises total cost at the upper level and grid vulnerability/power losses at the lower level.
Xiaonan Li +4 more
wiley +1 more source
An Interior-Point algorithm for Nonlinear Minimax Problems [PDF]
We present a primal-dual interior-point method for constrained nonlinear, discrete minimax problems where the objective functions and constraints are not necessarily convex.
E. Obasanjo, G. Tzallas-Regas, B. Rustem
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IET Smart Grid, Volume 9, Issue 1, January/December 2026.This paper proposes a two‐phase risk‐averse optimisation strategy of pre‐scheduling‐rolling dispatch for considering the grid integration of cluster wind power during cold wave. This method aims to address the imbalance between supply and demand in the power system that may be caused by the low output power of cluster wind power and load surges ...
Jiankang Zhang +4 more
wiley +1 more source
A review of portfolio planning: Models and systems [PDF]
, 2003 In this chapter, we first provide an overview of a number of portfolio planning models which have been proposed and investigated over the last forty years.
Mitra, G +3 more
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Efficiency in Pure‐Exchange Economies With Risk‐Averse Monetary Utilities
Mathematical Finance, Volume 36, Issue 1, Page 99-117, January 2026.ABSTRACT We study Pareto efficiency in a pure‐exchange economy where agents' preferences are represented by risk‐averse monetary utilities. These coincide with law‐invariant monetary utilities, and they can be shown to correspond to the class of monotone, (quasi‐)concave, Schur concave, and translation‐invariant utility functionals. This covers a large
Mario Ghossoub, Michael B. Zhu
wiley +1 more source
Equivalent Results in Minimax Theory [PDF]
In this paper we review known minimax results with applications ingame theory and show that these results are easy consequences of thefirst minimax result for a two person zero sum game with finite strategysets published by von Neumann in 1928: Among ...
Kassay, G., Kolumban, J., Frenk, J.B.G.
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