TY - GEN
T1 - Genetic algorithm-based structural topology design with compliance and manufacturability considerations
AU - Chapman, Colin D.
AU - Jakiela, Mark J.
N1 - Publisher Copyright:
© 1994 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1994
Y1 - 1994
N2 - The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to structural topology design problems with compliance and manufacturability considerations. After describing the genetic algorithm and reviewing previous research in structural topology design, we detail the chromosome-todesign representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article details the use of our genetic algorithm-based technique to minimize a structure's compliance, subject to a maximum volume constraint. The resulting structure is then directly compared with a solution obtained using a mathematical programming technique and material homogenization methods. We also demonstrate how our technique can generate structures which combine high stiffness-to-weight ratio with high manufacturability. After a brief discussion of our findings, we describe potential future work in genetic algorithm-based structural topology design.
AB - The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to structural topology design problems with compliance and manufacturability considerations. After describing the genetic algorithm and reviewing previous research in structural topology design, we detail the chromosome-todesign representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article details the use of our genetic algorithm-based technique to minimize a structure's compliance, subject to a maximum volume constraint. The resulting structure is then directly compared with a solution obtained using a mathematical programming technique and material homogenization methods. We also demonstrate how our technique can generate structures which combine high stiffness-to-weight ratio with high manufacturability. After a brief discussion of our findings, we describe potential future work in genetic algorithm-based structural topology design.
UR - http://www.scopus.com/inward/record.url?scp=85103563219&partnerID=8YFLogxK
U2 - 10.1115/DETC1994-0141
DO - 10.1115/DETC1994-0141
M3 - Conference contribution
AN - SCOPUS:85103563219
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 309
EP - 322
BT - 20th Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium
Y2 - 11 September 1994 through 14 September 1994
ER -