LINGO-18: Optimization Software

Author(s):  
Neha Gupta ◽  
Irfan Ali
1994 ◽  
Author(s):  
Ernest Eason ◽  
Gustav Nystrom ◽  
Aragon Burlingham ◽  
Edward Nelson

ChemInform ◽  
2005 ◽  
Vol 36 (2) ◽  
Author(s):  
Joseph P. Kenny ◽  
Steven J. Benson ◽  
Yuri Alexeev ◽  
Jason Sarich ◽  
Curtis L. Janssen ◽  
...  

1986 ◽  
Vol 2 (1) ◽  
pp. 62-66 ◽  
Author(s):  
Leif Gustafsson ◽  
Miroslaw Wiechowski

Author(s):  
Graham Goldin ◽  
Yongzhe Zhang

The Flamelet Generated Manifold (FGM) model requires a reaction progress variable which is usually defined as a weighted sum of species mass fractions. This progress variable should increase monotonically as flamelet states progress from unburnt to chemical equilibrium. A favorable attribute of the progress variable is that the flamelet species should change gradually with the progress variable, which reduces sensitivity of these species to any predicted errors in the progress variable. Previous publications have presented optimization algorithms for specific flamelet operating conditions, including fuel and oxidizer compositions and temperatures, and pressures. This work applies the HEEDS optimization software to find optimal species weights for a range of fuels and operating conditions. The fuels included are methane, methane-hydrogen, n-dodecane and n-heptane, at fuel-oxidizer temperatures of 293K and 1000K, and pressures of 1 and 30 atmospheres. For manifolds modeled by constant pressure ignition reactors, the optimal progress variable weights using four species weights are {αCO2 = 1, αCO = 0.91, αH2O = 0.52, αH2 = 1}, and for eight species weights are {αCO2 = 1, αCO = 0.91, αH2O = 0.51, αH2 = 1, αC2H2 = 0.16, αOH = −0.66, αH = −0.38, αO = 0.4}.


e-xacta ◽  
2013 ◽  
Vol 6 (1) ◽  
pp. 101
Author(s):  
José Airton Azevedo dos Santos ◽  
Tiago C. Dal’sotto ◽  
Wesley Schroeder

<p>Este trabalho tem como objetivo analisar, através de técnicas de simulação e de otimização, a dinâmica operacional do processo de atendimento de um pequeno posto de saúde localizado na região oeste paranaense. A simulação e a otimização foram executadas utilizando o pacote de simulação Arena®, que inclui o software de otimização Optquest. A metodologia utilizada é a de modelagem através de simulação computacional, de caráter quantitativo e é caracterizada como participativa. A aplicação destas técnicas em conjunto resultaram na otimização do número de agendamento de consultas médicas do posto de saúde.</p><p>Abstract</p><p>This work aims to analyze the attending process operational dynamics of a small health post located in Paraná West Region. Another objective is connect the concepts of simulation and optimization to maximize the number of scheduling appointments for the health post, within the limits of accommodation of the waiting room. The simulation and optimization were performed using the Arena ® simulation package, which includes the OptQuest optimization software. The methodology used was the modeling through computer simulation of quantitative character and it is characterized as participative. The application of these techniques all together resulted in the optimization of the number of medical appointment scheduling of the health post</p>


2014 ◽  
pp. 7-12
Author(s):  
Andrea Attanasio ◽  
Patrizia Beraldi ◽  
Francesca Guerriero

In this paper we propose a new practical performance index for ranking of numerical methods. This index may be very helpful especially when several methods are tested on a large number of instances, since it provides a concise and precise idea of the relative efficiency of a method with the respect to the others. In order to evaluate the efficiency of the proposed rule, we have applied it to the numerical results presented on previously published papers.


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