نتایج جستجو برای: surrogate constraint

تعداد نتایج: 100698  

Asefi F, Maleki H Raisi Z

Background: There has been little interest in the research literature on public opinions regarding assisted conception and surrogacy, particularly in Iran. Nevertheles, the growing evidence shows that problems in adaptation and coping may be related to perceived normative values. Materials and Methods: In this cross sectional study, questionnaires on attitudes to surrogacy were completed by 187...

Journal: :Electronics 2023

This paper analyses the multi-objective design of an inductor for a DC-DC buck converter. The core volume and total losses are two competing objectives, which should be minimised while satisfying constraints on required differential inductance profile maximum overheating. optimisation problem is solved by means population-based metaheuristic algorithm based Artificial Immune Systems (AIS). Desp...

2013
Sebastiano Battiato Stefano Cafiso Alessandro Di Graziano Giovanni Maria Farinella Oliver Giudice

In this paper an imaging system for road traffic conflict analysis is proposed. The system exploits geo-referenced stereo sequences and tracking procedure to compute traffic conflict measures which can be analysed by experts. Using the potentiality of the traffic conflict technique as a surrogate safety measure could constitute an effective tool in understanding how the driver interacts and ada...

ژورنال: :مدیریت تولید و عملیات 0
راشد صحرائیان دانشگاه شاهد علیرضا طاهری مقدم دانشگاه شاهد

در این مقاله یک مدل غیر قطعی زنجیره تأمین حلقه بسته ، توسعه داده شده است. هدف اول این مدل، حداکثر سازی سود کل زنجیره می باشد. تابع هدف دوم، حداقل سازی استفاده از مواد خام است. به عبارت دیگر هدف دوم حداکثر کردن میزان بازیافت می باشد؛ که یکی از دلایل پیدایش سیستم های حلقه بسته نیز همین امر بود. بهینه سازی در مدل مذکور توسط الگوریتم ژنتیک صورت گرفته و توسط روش ε-constraint به یافتن خط بهینه پارتو ...

2013
Edgar Reehuis Markus Olhofer Bernhard Sendhoff Thomas Bäck

A learning-based exploration approach is proposed to escape from the basins of attraction of converged-to optima, by selecting on what is termed the interestingness of a solution. This interestingness is based on the modeling error made by a surrogate model that is trained on all solutions encountered earlier during the search. Compared to multiple standard optimization runs, a learning-guided ...

1999
Koenraad Van Leemput Frederik Maes Fernando Bello Dirk Vandermeulen Alan C. F. Colchester Paul Suetens

Quantitative analysis of MR images is becoming increasingly important as a surrogate marker in clinical trials in multiple sclerosis (MS). This paper describes a fully automated model-based method for segmentation of MS lesions from multi-channel MR images. The method simultaneously corrects for MR eld inhomogeneities, estimates tissue class distribution parameters and classiies the image voxel...

2015

Consider a set of 6 points in R × {0, 1}: {(−1, 1), (−1, 1), (−2, 1), (−3, 0), (−3, 0), (−3, 0)}, and suppose we are interested in Prec@1. Note that the optimum model that maximizes prec@1 on these points has a positive sign. We will now show that the model w∗ ∈ R that maximizes the above structural SVM surrogate on these points has a negative sign. On the contrary, let us assume that w∗ has a ...

2009
Stephanus Daniel Handoko Chee Keong Kwoh Yew-Soon Ong

Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps to alleviate the needs for expensive fitness function evaluations by performing local refinements on the approximated landscape. Classifications can alternatively be used to assist MA on the choice of individuals that...

Journal: :I. J. Bifurcation and Chaos 2004
Marco Thiel M. Carmen Romano Udo Schwarz Jürgen Kurths Jens Timmer

Fourier surrogate data are artificially generated time series, that — based on a resampling scheme — share the linear properties with an observed time series. In this paper we study a statistical surrogate hypothesis test to detect deviations from a linear Gaussian process with respect to asymmetry in time (Q-statistic). We apply this test to a Fourier representable function and obtain a repres...

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