Structural shape optimization using evolution strategies

被引:45
作者
Papadrakakis, M [1 ]
Tsompanakis, Y [1 ]
Lagaros, ND [1 ]
机构
[1] Natl Tech Univ Athens, Inst Struct Anal & Seism Res, GR-15773 Athens, Greece
关键词
structural shape optimization; sequential quadratic programming; evolution strategies; parallel processing;
D O I
10.1080/03052159908941385
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective of this paper is to investigate the efficiency of combinatorial optimization methods and in particular algorithms based on evolution strategies, when incorporated into shape optimization problems. Evolution strategy algorithms are used either on a stand-alone basis, or combined with a conventional mathematical programming technique. The numerical tests presented demonstrate the computational advantages of the proposed approach which become more pronounced in large-scale optimization problems and/or parallel computing environment.
引用
收藏
页码:515 / 540
页数:26
相关论文
共 26 条
[1]  
[Anonymous], 21 ASME DES AUT C
[2]  
BERKE L, 1990, TM102420 NASA, P331
[3]  
Bletzinger K.-U., 1991, Computing Systems in Engineering, V2, P483, DOI 10.1016/0956-0521(91)90051-6
[4]  
FLEURY C, 1993, NATO DFG ASI OPTIMIZ, P509
[5]  
FORGEL LJ, 1966, ARTIFICIAL INTELLIGE
[6]  
Gill M., 1981, Practical Optimization
[7]  
Gill P., 1986, 862 SOL STANF U DEP
[8]  
Goldberg D. E., 1989, GENETIC ALGORITHMS S
[9]  
HINTON E, 1994, ADVANCES IN STRUCTURAL OPTIMIZATION, P1
[10]  
Hoffmeister F., 1991, Parallel Problem Solving from Nature. 1st Workshop, PPSN 1 Proceedings, P455, DOI 10.1007/BFb0029787