Efficient Parallel Nash Genetic Algorithm for Solving Inverse Problems in Structural Engineering

被引：3
|
作者：
Periaux, Jacques [1 ,2 ]
Greiner, David [3 ]
机构：
[1] Univ Jyvaskyla, Dept Math Informat Technol, Jyvaskyla, Finland
[2] Univ Politecn Cataluna, Int Ctr Numer Methods Engn CIMNE, E-08028 Barcelona, Spain
[3] ULPGC, Inst Intelligent Syst & Numer Applicat Engn SIANI, Las Palmas Gran Canaria 35017, Spain
来源：
MATHEMATICAL MODELING AND OPTIMIZATION OF COMPLEX STRUCTURES | 2016年 / 40卷
关键词：
Parallel genetic algorithms; Nash games; Structural optimization; Finite element analysis; Inverse problems; Bar structures; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; DESIGN; GAMES;
D O I：
10.1007/978-3-319-23564-6_13
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A parallel implementation of a game-theory based Nash Genetic Algorithm (Nash-GAs) is presented in this paper for solving reconstruction inverse problems in structural engineering. We compare it with the standard panmictic genetic algorithm in a HPC environment with up to eight processors. The procedure performance is evaluated on a fifty-five bar sized test case of discrete real cross-section types structural frame. Numerical results obtained on this application show a significant achieved increase of performance using the parallel Nash-GAs approach compared to the standard GAs or Parallel GAs.
引用
收藏
页码：205 / 228
页数：24
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