نتایج جستجو برای: augmented ε constraint

تعداد نتایج: 143005  

2008
Hong-Wei Chang Vin-Cent Wu Chao-Yuan Huang Hong-Yu Huang Yung-Ming Chen Tzong-Shinn Chu Kwan-Dun Wu Bor-Shen Hsieh

Chang H-W, Wu V-C, Huang C-Y, Huang H-Y, Chen Y-M, Chu T-S, Wu K-D, Hsieh B-S. D4 dopamine receptor enhances angiotensin II-stimulated aldosterone secretion through PKC-ε and calcium signaling. Am J Physiol Endocrinol Metab 294: E622–E629, 2008. First published January 2, 2008; doi:10.1152/ajpendo.00657.2007.—Aldosterone secretion is subjected to dopaminergic regulation. Our previous study show...

Journal: :J. Global Optimization 2014
Ana Maria A. C. Rocha M. Fernanda P. Costa Edite M. G. P. Fernandes

This paper presents a filter-based artificial fish swarm algorithm for solving nonconvex constrained global optimization problems. Convergence to an ε-global minimizer is guaranteed. At each iteration k, the algorithm requires a (ρ(k),ε(k))-global minimizer of a bound constrained bi-objective subproblem, where as k→ ∞, ρ(k)→ 0 gives the constraint violation tolerance and ε(k)→ ε is the error bo...

Journal: :SIAM J. Comput. 2008
Ke Chen Sariel Har-Peled

We consider the rooted orienteering problem: Given a set P of n points in the plane, a starting point r ∈ P , and a length constraint B, one needs to find a path starting from r that visits as many points of P as possible and of length not exceeding B. We present a (1 − ε)-approximation algorithm for this problem that runs in nO(1/ε) time; the computed path visits at least (1 − ε)kopt points of...

Journal: :Rairo-operations Research 2021

The oil and gas networks are overlapped because of the inclusion associated in crude oil. This necessitates integration planning supply chain together. In recent years, hydrocarbon market has experienced high fluctuation demands prices which leads to considerable economic disruptions. Therefore, chain, considering uncertainty is a significant area research. this regard, study develops multi-obj...

Journal: :Iet Renewable Power Generation 2021

The risks associated with wind power forecast (WF) deviations are of paramount importance to many system participants (PSPs). However, traditional sampling approaches computationally prohibitive model these deviations. Additionally, setting a risk level for satisfying different PSPs receives little attention. This paper constructs risk-adjustable stochastic day-ahead scheduling (RSDS) balance t...

2015
Marcin Orchel

We propose a novel idea of regression – balancing the distances from a regression function to all examples. We created a method, called balanced support vector regression (balanced SVR) in which we incorporated this idea to support vector regression (SVR) by adding an equality constraint to the SVR optimization problem. We implemented our method for two versions of SVR: ε-insensitive support ve...

Journal: :Journal of Differential Equations 2021

We consider a one-dimensional variational problem arising in connection with model for cholesteric liquid crystals. The principal feature of our study is the assumption that twist deformation nematic director incurs much higher energy penalty than other modes deformation. appropriate ratio elastic constants then gives small parameter ε entering an Allen-Cahn-type functional augmented by term. b...

2009
Konstantin Makarychev Yury Makarychev

In this paper, we improve a result by Arora, Khot, Kolla, Steurer, Tulsiani, and Vishnoi on solving the Unique Games problem on expanders. Given a (1−ε)-satisfiable instance of Unique Games with the constraint graph G, our algorithm finds an assignment satisfying at least a 1 − Cε/hG fraction of all constraints if ε < cλG where hG is the edge expansion of G, λG is the second smallest eigenvalue...

Journal: :Operations Research 2016
Darinka Dentcheva Maria Gabriela Martinez Eli Wolfhagen

We investigate risk-averse stochastic optimization problems where riskaverse preferences are modeled with a stochastic order constraint. We propose augmented Lagrangian methods for the numerical solution of problems with multivariate and univariate stochastic order relations. The methods constructs finite-dimensional approximations of the optimization problem whose solutions converge to the sol...

This paper presents a multi-objective and multi-service location-allocation model with capacity planning to design a healthcare facilities network through considering a referral system. Therefore, a mixed integer nonlinear programming (MINLP) model containing two objective functions is proposed. The first objective function is  relates to minimization of total opening cost, minimization of tota...

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