R.L. Fox, Optimization Methods for Engineering Design (Addison-Wesley, Reading, Massachusetts, 1971).Fox, R. L. , Optimization Methods for Engineering ... RL Fox - Addison-Wesley 被引量: 501发表: 1971年 Managing Risk: Methods for Software Systems Development Managing Risk: Methods for Softwar...
1974 Purdue Compressor Technology Conference (PCTC 1974): 10-12 July, 1974, West Lafayette, Indiana, USARagsdell, K. M., 1974, An Introduction to Optimization Methods for Engineering Design, Int. Compressor Engineering Conference at Purdue, p. 395-403....
Mathematical programming provides general tools for engineering design optimization. We present numerical models for simultaneous analysis and design optim... J Herskovits,P Mappa,E Goulart,... - 《Computer Methods in Applied Mechanics & Engineering》 被引量: 107发表: 2005年 Multi-Objective Evolutionar...
, Design Optimization, Academic Press (1985), pp. 193-227 View PDFView articleGoogle Scholar [4] C.A. Coello Coello Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art Comput. Methods Appl. Mech. Engrg., 191 (2002), ...
Survey of multi-objective optimization methods for engineering英文资料.pdf,Review article Struct Multidisc Optim 26, 369–395 (2004) DOI 10.1007/s00158-003-0368-6 Survey of multi-objective optimization methods for engineering R.T. Marler and J.S. Arora A
摘要: Numerical optimization techniques provide a uniquely general and versatile tool for design automation. While these methods have been developed, to a large degree, by the operations research community关键词: Engineering design Numerical calculations Mathematical optimization ...
This may involve using probabilistic methods or designing for robustness to ensure that the final design is resilient to variations in operating conditions. Furthermore, the increasing complexity of modern engineering systems presents a challenge for design optimization. As technology advances, engineering ...
These uncertainties can have a significant impact on the performance and reliability of a design, and must be carefully accounted for in the optimization process. This often requires the use of probabilistic methods and sensitivity analysis to assess the robustness of a design and identify potential ...
Engineers must therefore use probabilistic methods and robust design techniques to account for these uncertainties and ensure that the final design is resilient to variations in operating conditions. In recent years, there has been a growing emphasis on sustainability in engineering design and ...
《Engineering Optimization: Methods and Applications 工程最优化:方法与应用》作者:Wiley,出版社:2006年5月 第2版,ISBN:1174.60。Engineeringoptimizationhelpsengineerszeroinonthemo