Interval Multi-objective Optimization Design Based on Physical Programming

• Autorzy: Zhang X. , Sun W. , Huo J. , Ding X.

Warianty tytułu

PL

Interwałowa wieloobiektowa optymalizacja projektowania bazująca na technologii physical programming

• Języki publikacji: EN

Abstrakty

EN

This paper develops a new effective and computationally-efficient approach for design optimization, hereby entitled interval physical programming optimization design. In view of the limitation that weights without physical meaning are required to be provided in traditional evaluation methods, physical programming is used in multi-objective optimization problem. Considering the uncertain factors in manufacture process and operation environment, the interval physical programming model (IPP) is improved. Decision-makers only need to set the boundary values of each preference range，thereby the interval objective of selected projects are computed with the IPP model. To address the existing problems in structure optimal design, the manufacturing tolerances of each dimension are defined as the region limits of design variables. The example of multi-objective optimization design of a pinned-pinned sandwich-beam demonstrates the effectiveness and practicality of the proposed method.

PL

W artykule zaproponowano nowy skuteczny model optymalizacji projektowania nazwany: interval physical programming optimization design. Model wykorzystuje problem optymalizacji wieloobiektowej uwzględniając niepewność w procesie produkcji i warunki środowiskowe.

Słowa kluczowe

EN

multi-objective optimization; physical programming; interval physical programming structural design

PL

optymalizacja; programowanie; projektowanie

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7b
• Strony: 379--381
• Opis fizyczny: Bibliogr. 7 poz., tab., wykr.

Twórcy

autor

Zhang X.

• School of Mechanical Engineering, Dalian University of Technology, China

autor

Sun W.

• School of Mechanical Engineering, Dalian University of Technology, China

autor

Huo J.

• School of Mechanical Engineering, Dalian University of Technology, China

autor

Ding X.

• School of Mechanical Engineering, Dalian University of Technology, China

Bibliografia

• [1] Tappeta R.V., Renaud J.E., Multiobjective Collaborative Optimization, ASME, Journal of Mechanical Design, 119 (1997), No. 9, 403-411
• [2] Tappeta R.V., Renaud J.E., Interactive Multi-objective Optimization Design Strategy for Decision Based Design, ASME, Journal of Mechanical Design, 123 (2001), No. 6, 205-215
• [3] Messac A., Gupta S., Akbulut B., Linear Physical Programming: A New Approach to Multiple Objective Optimization, Transactions on Operational Research, (1996) No. 8, 39-59
• [4] Tapabrata R., Kang T., Kian C.S., Multiobjective Design Optimization by An Evolutionary Algorithm, Engineering Optimization, 33 (2001), No. 4, 399-424
• [5] Tian Z.G., Huang H.Z., Guan L.W., Fuzzy Physical Programming and Its Application in Optimization of Through Passenger Train Plan, Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, (2002), 498-503
• [6] Messac A., Hattis P.D., High Speed Civil Transport (HSCT) Plane Design using Physical Programming, AIAA/ASME/ASCE/AHS Structures, Structural Dynamics & Material Conference, (1995), 10-13
• [7] Xue L.H., Huang H.Z., Zhang X, Linear Physical Programmingbased Evaluation and Decision of Conceptual Design Schemes, Journal of Dalian University of Technology, 45 (2005), No. 4, 562-565