Project Resource Input Optimization Problem with Combined Time Constraints Based on Node Network Diagram and Constraint Programming

2021 ◽  
Vol 147 (12) ◽  
pp. 04021163
Author(s):  
Feng Kong ◽  
Jinliang Guo ◽  
Xiao Lv
Keyword(s):  
Constraint Programming ◽  
Optimization Problem ◽  
Time Constraints ◽  
Network Diagram ◽  
Input Optimization ◽  
Node Network ◽  
Resource Input

On averaging and input optimization of high-frequency mechanical control systems

2016 ◽  
Vol 24 (5) ◽  
pp. 937-955 ◽  
Author(s):  
Sevak Tahmasian ◽  
David W Allen ◽  
Craig A Woolsey
Keyword(s):  
Constrained Optimization ◽  
High Frequency ◽  
Optimization Problem ◽  
High Amplitude ◽  
Constrained Optimization Problem ◽  
Mechanical Control ◽  
Input Optimization ◽  
Control Objective ◽  
Input Waveform ◽  
Minimum Amplitude

This paper presents the optimization of input amplitudes for mechanical control-affine systems with high-frequency, high-amplitude inputs. The problem consists of determining the input waveform shapes and the relative phases between inputs to minimize the input amplitudes while accomplishing some control objective. The effects of the input waveforms and relative phases on the dynamics are investigated using averaging. It is shown that of all zero-mean, periodic functions, square waves require the smallest amplitudes to accomplish a control objective. Using the averaging theorem the problem of input optimization is transformed into a constrained optimization problem. The constraints are algebraic nonlinear equalities in terms of the amplitudes of the inputs and their relative phases. The constrained optimization problem may be solved using analytical or numerical methods. A second approach uses finite Fourier series to solve the input optimization problem. This second approach confirms the earlier results concerning minimum amplitude inputs and is then applied to the problem of minimizing control energy.

Gender Differences in the Mental Rotations Test (MRT) Are Not Due to Task Complexity

2008 ◽  
Vol 29 (3) ◽  
pp. 130-133 ◽  
Author(s):  
Corinna Titze ◽  
Martin Heil ◽  
Petra Jansen
Keyword(s):  
Gender Differences ◽  
Mental Rotation ◽  
Task Complexity ◽  
Time Constraints ◽  
Medium Effects ◽  
Performance Factors ◽  
Mental Rotations ◽  
Sufficient Power ◽  
Forced Choice Tasks ◽  
Choice Tasks

Gender differences are one of the main topics in mental rotation research. This paper focuses on the influence of the performance factor task complexity by using two versions of the Mental Rotations Test (MRT). Some 300 participants completed the test without time constraints, either in the regular version or with a complexity reducing template creating successive two-alternative forced-choice tasks. Results showed that the complexity manipulation did not affect the gender differences at all. These results were supported by a sufficient power to detect medium effects. Although performance factors seem to play a role in solving mental rotation problems, we conclude that the variation of task complexity as realized in the present study did not.

Time Constraints Limit Full-Body Skin Exams

2011 ◽  
Vol 41 (2) ◽  
pp. 35
Author(s):  
MARY ANN MOON
Keyword(s):  
Time Constraints ◽  
Full Body

A Metabolic Node Network Of 2-Undecanone In Cordate Houttuynia

Planta Medica ◽  
2016 ◽  
Vol 82 (05) ◽  
Author(s):  
WL Liu ◽  
XL Zhang ◽  
W Ouyang ◽  
XQ Xiao ◽  
PA Liu ◽  
...  
Keyword(s):  
Node Network

Exergy and sensibility analysis of each individual effect in a kraft multiple effect evaporator

TAPPI Journal ◽  
2019 ◽  
Vol 18 (10) ◽  
pp. 607-618
Author(s):  
JÉSSICA MOREIRA ◽  
BRUNO LACERDA DE OLIVEIRA CAMPOS ◽  
ESLY FERREIRA DA COSTA JUNIOR ◽  
ANDRÉA OLIVEIRA SOUZA DA COSTA
Keyword(s):  
Optimization Problem ◽  
Real Data ◽  
Kraft Pulping ◽  
Steam Temperature ◽  
Input Flow ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients ◽  
Multiple Effect ◽  
Sensibility Analysis ◽  
Exergetic Analysis

The multiple effect evaporator (MEE) is an energy intensive step in the kraft pulping process. The exergetic analysis can be useful for locating irreversibilities in the process and pointing out which equipment is less efficient, and it could also be the object of optimization studies. In the present work, each evaporator of a real kraft system has been individually described using mass balance and thermodynamics principles (the first and the second laws). Real data from a kraft MEE were collected from a Brazilian plant and were used for the estimation of heat transfer coefficients in a nonlinear optimization problem, as well as for the validation of the model. An exergetic analysis was made for each effect individually, which resulted in effects 1A and 1B being the least efficient, and therefore having the greatest potential for improvement. A sensibility analysis was also performed, showing that steam temperature and liquor input flow rate are sensible parameters.

A Method of Train Regulation Planning by the Constraint Programming Using Train Regulation Knowledge

2010 ◽  
Vol 130 (2) ◽  
pp. 332-342 ◽  
Author(s):  
Shuichiro Sakikawa ◽  
Tatsuhiro Sato ◽  
Toyohisa Morita ◽  
Kenji Ohta
Keyword(s):  
Constraint Programming
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