Mathematical programming models and algorithms for engineering design optimization

被引：60
作者：
Herskovits, J
Mappa, P
Goulart, E
Soares, CMM
机构：
[1] Univ Fed Rio de Janeiro, COPPE, Mech Engn Program, BR-21945970 Rio De Janeiro, Brazil
[2] Inst Super Tecn, Inst Engn Mecan, P-1048001 Lisbon, Portugal
来源：
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2005年 / 194卷 / 30-33期
关键词：
engineering design optimization; MDO multidisciplinary design optimization; SAND simultaneous analysis and design; nonlinear programming; interior point algorithms;
D O I：
10.1016/j.cma.2004.12.017
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Mathematical programming provides general tools for engineering design optimization. We present numerical models for simultaneous analysis and design optimization (SAND) and multidisciplinary design optimization (MDO) represented by mathematical programs. These models are solved with numerical techniques based on the feasible arc interior point algorithm (FAIPA) for nonlinear constrained optimization, Even if MDO is a very large optimization problem, our approach reduces considerably the computer effort. Several took for very large problems are also presented. The present approach is very strong and efficient for real industrial applications and can easily interact with existing simulation engineering codes. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：3244 / 3268
页数：25
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