Chance Left Constraint Model for TSP and Its GASO Algorithm

2017 ◽  
pp. 387-397
Author(s):  
Xiaojing Shi ◽  
Xingfang Zhang
Keyword(s):  
Constraint Model

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

Insurance Cycles: Interest Rates and the Capacity Constraint Model

1995 ◽  
Vol 68 (3) ◽  
pp. 383 ◽  
Author(s):  
Neil A. Doherty ◽  
James R. Garven
Keyword(s):  
Interest Rates ◽  
Capacity Constraint ◽  
Constraint Model

A REFLEX Algebraic Reserve Constraint Model

2020 ◽  
Author(s):  
R. Abarca ◽  
H. Chavez ◽  
A. Lismayes ◽  
Claudia Caro-Ruiz ◽  
Gonzalo E. Alvarez
Keyword(s):  
Constraint Model

Aerodynamic Optimization Design of Airfoil Shape Using Entropy Generation as an Objective

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Wei Wang ◽  
Jun Wang ◽  
Xiao-Pei Yang ◽  
Yan-Yan Ding
Keyword(s):  
Entropy Generation ◽  
Energy Cost ◽  
Optimization Design ◽  
Generation Rate ◽  
Entropy Generation Rate ◽  
Aerodynamic Optimization ◽  
Analysis And Design ◽  
Constraint Model ◽  
The Impact ◽  
Drag Ratio

Abstract An entropy analysis and design optimization methodology is combined with airfoil shape optimization to demonstrate the impact of entropy generation on aerodynamics designs. In the work herein, the entropy generation rate is presented as an extra design objective along with lift-drag ratio, while the lift coefficient is the constraint. Model equation, which calculates the local entropy generation rate in turbulent flows, is derived by extending the Reynolds-averaging of entropy balance equation. The class-shape function transform (CST) parametric method is used to model the airfoil configuration and combine the radial basis functions (RBFs) based mesh deformation technique with flow solver to compute the quantities such as lift-drag ratio and entropy generation at the design condition. From the multi-objective solutions which represent the best trade-offs between the design objectives, one can select a set of airfoil shapes with a low relative energy cost and with improved aerodynamic performance. It can be concluded that the methodology of entropy generation analysis is an effective tool in the aerodynamic optimization design of airfoil shape with the capability of determining the amount of energy cost.

Modeling Large Spatial Deflections of Slender Bisymmetric Beams in Compliant Mechanisms Using Chained Spatial-Beam Constraint Model

2016 ◽  
Vol 8 (4) ◽  
Author(s):  
Guimin Chen ◽  
Ruiyu Bai
Keyword(s):  
Finite Element Analysis ◽  
Compliant Mechanisms ◽  
Research Community ◽  
Nonlinear Finite Element ◽  
Nonlinear Constraint ◽  
Element Analysis ◽  
Flexible Beams ◽  
Spatial Beams ◽  
Spatial Beam ◽  
Constraint Model

Modeling large spatial deflections of flexible beams has been one of the most challenging problems in the research community of compliant mechanisms. This work presents a method called chained spatial-beam constraint model (CSBCM) for modeling large spatial deflections of flexible bisymmetric beams in compliant mechanisms. CSBCM is based on the spatial-beam constraint model (SBCM), which was developed for the purpose of accurately predicting the nonlinear constraint characteristics of bisymmetric spatial beams in their intermediate deflection range. CSBCM deals with large spatial deflections by dividing a spatial beam into several elements, modeling each element with SBCM, and then assembling the deflected elements using the transformation defined by Tait–Bryan angles to form the whole deflection. It is demonstrated that CSBCM is capable of solving various large spatial deflection problems either the tip loads are known or the tip deflections are known. The examples show that CSBCM can accurately predict large spatial deflections of flexible beams, as compared to the available nonlinear finite element analysis (FEA) results obtained by ansys. The results also demonstrated the unique capabilities of CSBCM to solve large spatial deflection problems that are outside the range of ansys.

Innovation in centralized organizations: examining evidence from Soviet Russia

2014 ◽  
Vol 41 (1) ◽  
pp. 123-139 ◽  
Author(s):  
Dmitriy Chulkov
Keyword(s):  
Decision Making ◽  
Empirical Evidence ◽  
Budget Constraint ◽  
Soviet Economy ◽  
Decision Makers ◽  
Economic Systems ◽  
Soft Budget Constraint ◽  
Content Type ◽  
Economic Decision Making ◽  
Constraint Model

Purpose – This study aims to examine the economic factors that determine innovation pattern in centralized and decentralized economies and organizations. Design/methodology/approach – Empirical evidence on innovation in the centralized economy of the Soviet Union is reviewed. Existing theoretical literature in this area relies on the incentives of decision-makers in centralized organizations and on the concept of soft budget constraint in centralized command economies and hard budget constraint in market economies. This study advocates applying the hierarchy/polyarchy model of innovation screening to explain the pattern of innovation in centralized economic systems. Findings – Screening and development of innovation projects can be organized in a centralized or decentralized fashion. The differences in innovation between centralized and decentralized economic systems may be explained by elements of the principal-agent theory, the soft budget constraint model, and the theory of decision-making in hierarchies and polyarchies. Empirical evidence shows a sharp slowdown in both innovation and economic growth in the Soviet economy following the economic decision-making reform of 1965. The theoretical explanation most consistent with this evidence is the hierarchy decision-making model. Originality/value – Comparisons of innovation in centralized and decentralized economies traditionally relied on decision-makers' incentives and the concept of soft budget constraint. Upon analysis of empirical evidence from the centralized Soviet economy, this study advocates explaining innovation patterns based on decision-making theory of hierarchy.

scholarly journals Mothers' cooking stress and family dining out : examining psychological influences and family dining out benefits on mothers' life satisfaction

2018 ◽  
Author(s):  
◽  
Kathleen Jeehyae Kim
Keyword(s):  
Life Satisfaction ◽  
Positive Impact ◽  
Learning Experience ◽  
Structural Constraint ◽  
Moderating Effects ◽  
Stress Group ◽  
Family Dining ◽  
Negative Impacts ◽  
Constraint Model ◽  
Positive Impacts

This study aimed to (1) to examine whether the constructs of dining out constraints (i.e., interpersonal constraint, structural constraint, and intrapersonal constraint) influence the frequency of mothers dining out with their family, (2) to investigate the relationship between cooking stress, the need for a reward, the desire to dine out, constraints, and the frequency of dining out as leisure, focusing on the entire process from problem/need recognition to purchase decision, (3) to identify whether dining out benefits (i.e., enjoyment, convenience, detachment, relaxation, and learning experience) influence the life satisfaction of mothers, and (4) to assess the moderating effects of mothers' cooking stress on the relationships among dining out benefits and life satisfaction. The results for the constraint model indicated that both interpersonal and structural constraints of dining out have significantly negative impacts on family dining out frequency, but it was failed to find the effect of intrapersonal constraint on family dining out frequency. The findings for the decision-making model indicated that cooking stress has significantly positive impacts on both desire to dine out and need for reward. It was also found that need for reward has a significantly positive impact on desire to dine out, and that desire to dine out has a significantly positive impact on perceived frequency of family dining out as leisure. It was revealed that desire to dine out also has significantly positive impacts on both interpersonal constraint and intrapersonal constraint, while there did not seem to be a positive relationship between desire to dine out and structural constraint. Both interpersonal constraint and structural constraint did not have significantly negative impacts on perceived frequency of dining out. Yet, intrapersonal constraint had a significantly negative impact on perceived frequency of dining out. The results for the benefit model indicated that enjoyment, convenience, relaxation, and learning experience have significantly positive impacts on life satisfaction after family dining out. On the other hand, detachment did not have a significant impact on life satisfaction after family dining out. Regarding the moderating effects of high versus low cooking stress groups, the effects of convenience and learning experience on life satisfaction were significantly smaller in the high cooking stress group than in the low cooking stress group, but the effects of enjoyment on life satisfaction were significantly stronger in the high cooking stress group than in the low cooking stress group. The effects of detachment and relaxation on life satisfaction were not significantly different between the high and low cooking stress groups. The implications of these findings for the restaurant management strategies to attract mothers and their families are discussed.

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