Results 31 to 40 of about 682,989 (319)
On Nondifferentiable and Nonconvex Vector Optimization Problems [PDF]
Journal of Optimization Theory and Applications, 2000 In the past, vector variational inequalities and their generalizations have been used as a tool to solve vector optimization problems. The authors prove equivalence among Minty vector variational-like inequality, Stampacchia vector variational inequality, both for subdifferentiable functions and nondifferentiable nonconvex vector optimization problems.
Ansari, Q. H., Yao, J. C.
openaire +1 more source
Some Characterizations of Ideal Points in Vector Optimization Problems
Journal of Inequalities and Applications, 2008 Several relations between (proper) ideal points and (weakly, positive proper, general positive) efficient points are derived in real linear spaces.
Jun Li, Yeol Je Cho, Yan-Fei Chai
doaj +2 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
IEEE Access, 2020 The evolutionary algorithms for many-objective optimization based on reference-point decomposition are widely concerned since they generally maintain good performance on many optimization problems, however, most of these algorithms show insufficient ...
Wenjing Sun, Junhua Li
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Towards a Lagrange-Newton approach for PDE constrained shape optimization
, 2014 The novel Riemannian view on shape optimization developed in [Schulz, FoCM, 2014] is extended to a Lagrange-Newton approach for PDE constrained shape optimization problems.
A Novruzi +13 more
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
A Minty variational principle for set optimization [PDF]
, 2014 Extremal problems are studied involving an objective function with values in (order) complete lattices of sets generated by so called set relations.
Crespi, Giovanni P. +2 more
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A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
International Journal of Adaptive Control and Signal Processing, EarlyView.Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
An Approximation Theorem for Vector Equilibrium Problems under Bounded Rationality
Mathematics, 2020 In this paper, our purpose is to investigate the vector equilibrium problem of whether the approximate solution representing bounded rationality can converge to the exact solution representing complete rationality.
Wensheng Jia, Xiaoling Qiu, Dingtao Peng
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