نتایج جستجو برای: objective programming mop

تعداد نتایج: 869157  

Journal: :INFOR 2009
Matthias Ehrgott Chris Waters Refail Kasimbeyli Ozden Ustun

In recent years portfolio optimization models that consider more criteria than the standard expected return and variance objectives of the Markowitz model have become popular. For such models, two approaches to find a suitable portfolio for an individual investor are possible. In the multiattribute utility theory (MAUT) approach a utility function is constructed based on the investor’s preferen...

2013
Paolo Campigotto Andrea Passerini Roberto Battiti

A multi-objective optimization problem (MOP) is formulated as the joint minimization of m conflicting objective functions f1(x), . . . , fm(x) w.r.t a vector x of n decision variables. Typically, x ∈ Ω, where Ω ⊂ R is the feasible region, defined by a set of constraints on the decision variables. Objective vectors are images of decision vectors and can be written as z = f(x) = (f1(x), . . . , f...

Journal: :journal of industrial engineering, international 2010
s ghayebloo h babaei

since lean concept has appeared many works have been done on decreasing or even eliminating of wastes such as extra inventory. although these studies have not taken into account expected availability seriously. so in this paper, a multiple objective decision making (modm) model has been developed by viewpoint of these subjects. they are decreasing wastes and increasing system availability. wast...

Journal: :international journal of information, security and systems management 2014
arash sharafi masouleh nasim dadgar

quality function development (qfd) is a planning tools used to fulfill customer expectation and qfd is a systematic process to translating customer requirement (whats) into technical description (hows). qfd aims to maximize customer satisfactions related to enterprise satisfaction. the inherent fuzziness of relationships in qfd modeling justifies the use of fuzzy regression for estimating the r...

1996
Brendan Gowing Vinny Cahill

Meta-Object Protocols (MOPs) are an important aspect of object-oriented re ective programming. A number of C++ extensions have been implemented that include certain re ective features, however none of these provides a fully featured MOP. In this paper, we describe an extended version of C++ called Iguana that allows various features of the C++ language to be rei ed and their implementations (dy...

Journal: :General physiology and biophysics 2000
T Düring F Gerst W Hänsel H Wulff E Koppenhöfer

The effects of the phototoxic K+- channel blockers 8-methoxypsoralen (8-MOP) and 5-methoxypsoralen (5-MOP) on Ranvier nodes were compared to those of 5,8-diethoxypsoralen (5,8-EOP) by means of the Hodgkin-Huxley formalism. When these test substances were added individually to the bathing solution (8-MOP: 100 micromol/l; 5-MOP: 50 micromol/l; 5,8-EOP: 10 micromol/l) the following completely reve...

2011
Basel Magableh Stephen Barrett

This paper introduces a context-oriented component-based application MDA (COCA-MDA) that modularizes the application’s context-dependent behaviour into context-oriented components. The components separate the application’s functional concerns from the extra-functional concerns. The application is organized into two casually connected layers: the base layer, which provides the application’s core...

2013
Kazutaka Ikeda Shinya Kasai

The μ-opioid receptor (MOP) is a subtype that belongs to the superfamily of 7-transmembranespanning G-protein-coupled receptors. Pharmacological studies with gene-knockout mice show that MOP is a major target for the clinically important opioid drugs, such as morphine and fentanyl, and it appears to play critical roles in the mediation of the major effects of these opioid drugs, including analg...

2003
Jinbo Bi

We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective program by setting two competing goals to minimize the empirical risk and minimize the model capacity. Distinct approaches to solving the MOP introduce various SVM formulations. The proposed framework enables a more effec...

Journal: :Transactions of the Institute of Systems, Control and Information Engineers 2015

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