scholarly journals Preliminary Results of the Generalized Extremal Optimization Algorithm Applied in the Design of Optical Systems

2010 ◽  
Author(s):  
Braulio F. Albuquerque ◽  
Fabiano L. de Sousa
Keyword(s):  
Optimization Algorithm ◽  
Optical Systems ◽  
Extremal Optimization ◽  
Preliminary Results ◽  
Generalized Extremal Optimization

Multiobjective generalized extremal optimization algorithm for simulation of daylight illuminants

2017 ◽  
Vol 7 (04) ◽  
pp. 1
Author(s):  
Srividya Ravindra Kumar ◽  
Ciji Pearl Kurian ◽  
Marcos Eduardo Gomes-Borges
Keyword(s):  
Optimization Algorithm ◽  
Extremal Optimization ◽  
Generalized Extremal Optimization

scholarly journals Spacecraft thermal design with the Generalized Extremal Optimization Algorithm

2007 ◽  
Vol 15 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Roberto L. Galski ◽  
Fabiano L. De Sousa ◽  
Fernando M. Ramos ◽  
Issamu Muraoka
Keyword(s):  
Optimization Algorithm ◽  
Thermal Design ◽  
Extremal Optimization ◽  
Generalized Extremal Optimization

GEO + ES Hybrid Optimization Algorithm Applied to the Parametric Thermal Model Estimation of a 200N Hydrazine Thruster

2011 ◽  
Author(s):  
Roberto Luiz Galski ◽  
Heitor Patire Ju´nior ◽  
Fabiano Luis de Sousa ◽  
Jose´ Nivaldo Hinckel ◽  
Pedro Lacava ◽  
...  
Keyword(s):  
Temperature Profile ◽  
Film Cooling ◽  
Simulated Data ◽  
Convergence Properties ◽  
Extremal Optimization ◽  
Hybrid Optimization Algorithm ◽  
Design Variables ◽  
Desirable Feature ◽  
Self Tuning ◽  
Generalized Extremal Optimization

In the present paper, a hybrid version of the Generalized Extremal Optimization (GEO) and Evolution Strategies (ES) algorithms [1], developed in order to conjugate the convergence properties of GEO with the self-tuning characteristics present in the ES, is applied to the estimation of the temperature distribution of the film cooling near the internal wall of a thruster. The temperature profile is determined through an inverse problem approach using the hybrid. The profile was obtained for steady-state conditions, were the external wall temperature along the thruster is considered as a known input. The Boltzmann’s equation parameters [2], which define the cooling film temperature profile, are the design variables. Results using simulated data showed that this approach was efficient in recuperating those parameters. The approach showed here can be used on the design of thrusters with lower wall temperatures, which is a desirable feature of such devices.

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