Parallel optimization by means of a Spectral-Projected-Gradient approach

被引：0
|
作者：
Ignacio Ardenghi, Juan [2 ]
Esteban Vazquez, Gustavo [2 ,3 ]
Beatriz Brignole, Nelida [1 ,2 ]
机构：
[1] Consejo Nacl Invest Cient & Tecn, Planta Piloto Ingn Quim PLAPIQUI Complejo CCT UAT, RA-8000 Bahia Blanca, Buenos Aires, Argentina
[2] Univ Nacl Sur, DCIC, LIDeCC, RA-8000 Bahia Blanca, Buenos Aires, Argentina
[3] Univ Catolica Uruguay, Fac Ingn & Tecnol, Montevideo 11600, Uruguay
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2015年 / 81卷
关键词：
Optimization; Parallel programming; Non-linear problems; Efficiency; BARZILAI-BORWEIN METHOD; DESIGN; MINIMIZATION;
D O I：
10.1016/j.compchemeng.2015.04.010
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The judicious exploitation of the inherent optimization capabilities of the Spectral-Projected-Gradient method (SPG) is proposed. SPG was implemented in order to achieve efficiency. The novel adjustments of the standard SPG algorithm showed that the parallel approach proves to be useful for optimization problems related to process systems engineering. Efficiency was achieved without having to relax the problems because the original model solutions were obtained in reasonable time. (c) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：344 / 354
页数：11
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