Abstract
A new procedure, based on the modification of the genetic algorithm, is presented for the solution of mixed-discrete nonlinear design optimization. In this approach, the genetic algorithm is used mainly to determine the optimal feasible region containing the global optimum point, and he hybrid negative sub-gradient or Polak-Ribiere-Poiyak (PRP) conjugate gradient method, combined with discrete one-dimension search, is subsequently used to replace the GA to find the final optimum solution. The modified genetic algorithm can improve the convergence speed and computational efficiency compared with other GAs or random search methods. Several practical examples of mechanical design are tested using the computer program developed. The numerical results demonstrate the effectiveness and robustness of the proposed approach.
| Original language | English (US) |
|---|---|
| Title of host publication | Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference |
| Pages | 4215-4227 |
| Number of pages | 13 |
| Volume | 6 |
| State | Published - 2004 |
| Event | Collect. of Pap. - 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum - Palm Springs, CA, United States Duration: Apr 19 2004 → Apr 22 2004 |
Other
| Other | Collect. of Pap. - 45th AIAA/ASME/ASCE/AHS/ASC Struct., Struct. Dyn. and Mater. Conf.; 12th AIAA/ASME/AHS Adapt. Struct. Conf.; 6th AIAA Non-Deterministic Approaches Forum; 5th AIAA Gossamer Spacecraft Forum |
|---|---|
| Country | United States |
| City | Palm Springs, CA |
| Period | 4/19/04 → 4/22/04 |
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ASJC Scopus subject areas
- Architecture
Cite this
A new algorithm for mixed-discrete design optimization. / Rao, Singiresu S; Xiong, Ying.
Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Vol. 6 2004. p. 4215-4227.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A new algorithm for mixed-discrete design optimization
AU - Rao, Singiresu S
AU - Xiong, Ying
PY - 2004
Y1 - 2004
N2 - A new procedure, based on the modification of the genetic algorithm, is presented for the solution of mixed-discrete nonlinear design optimization. In this approach, the genetic algorithm is used mainly to determine the optimal feasible region containing the global optimum point, and he hybrid negative sub-gradient or Polak-Ribiere-Poiyak (PRP) conjugate gradient method, combined with discrete one-dimension search, is subsequently used to replace the GA to find the final optimum solution. The modified genetic algorithm can improve the convergence speed and computational efficiency compared with other GAs or random search methods. Several practical examples of mechanical design are tested using the computer program developed. The numerical results demonstrate the effectiveness and robustness of the proposed approach.
AB - A new procedure, based on the modification of the genetic algorithm, is presented for the solution of mixed-discrete nonlinear design optimization. In this approach, the genetic algorithm is used mainly to determine the optimal feasible region containing the global optimum point, and he hybrid negative sub-gradient or Polak-Ribiere-Poiyak (PRP) conjugate gradient method, combined with discrete one-dimension search, is subsequently used to replace the GA to find the final optimum solution. The modified genetic algorithm can improve the convergence speed and computational efficiency compared with other GAs or random search methods. Several practical examples of mechanical design are tested using the computer program developed. The numerical results demonstrate the effectiveness and robustness of the proposed approach.
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UR - http://www.scopus.com/inward/citedby.url?scp=16244391756&partnerID=8YFLogxK
M3 - Conference contribution
VL - 6
SP - 4215
EP - 4227
BT - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ER -