Application of genetic programming and response surface methodology to optimization and inverse problems

被引：9
|
作者：
Toropov, VV [1 ]
Alvarez, LF [1 ]
机构：
[1] Univ Bradford, Dept Civil & Environm Engn, Bradford BD7 1DP, W Yorkshire, England
来源：
INVERSE PROBLEMS IN ENGINEERING MECHANICS | 1998年
关键词：
structural optimization; genetic programming; multipoint approximation method;
D O I：
10.1016/B978-008043319-6/50062-5
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Genetic Programming methodology is used for the creation of approximation functions in the: solution of optimization and inverse problems. Genetic Programming is a relatively new form of Artificial Intelligence, and is based on the ideas of Darwinian evolution and genetics. Two important aspects of the problem are addressed: the choice of the plan of experiments and the model tuning using the least-squares response surface fitting. A test example is presented where the technique is applied to a simple optimization problem.
引用
收藏
页码：551 / 560
页数：10
相关论文
共 50 条
  • [1] Improvement and application on response surface methodology in shape optimization
    Numerical Simulation Center for Engineering, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
    Beijing Gongye Daxue Xuebao J. Beijing Univ. Technol., 2008, 1 (31-36+64):
  • [2] Polynomial genetic programming for response surface modeling - Part 1: a methodology
    Yeun, YS
    Yang, YS
    Ruy, WS
    Kim, BJ
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2005, 29 (01) : 19 - 34
  • [3] Polynomial genetic programming for response surface modeling Part 1: a methodology
    Y.S. Yeun
    Y.S. Yang
    W.S. Ruy
    B.J. Kim
    Structural and Multidisciplinary Optimization, 2005, 29 : 19 - 34
  • [4] FOREBODY OPTIMIZATION USING RESPONSE SURFACE METHODOLOGY WITH GENETIC ALGORITHM
    Kandemir, Omer
    Tuncer, Ismail H.
    PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 6, 2021,
  • [5] Application of response surface methodology in the optimization of cutting conditions for surface roughness
    Öktem, H
    Erzurumlu, T
    Kurtaran, H
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 170 (1-2) : 11 - 16
  • [6] Optimization of Inverse Problems involving Surface Reconstruction: Least Squares Application
    Sefer, Ahmet
    2022 3RD URSI ATLANTIC AND ASIA PACIFIC RADIO SCIENCE MEETING (AT-AP-RASC), 2022,
  • [7] The Application of Response Surface Methodology for the Optimization of an Extractive Distillation Process
    Biglari, Mazda
    Langstaff, Andrew
    Elkamel, Ali
    PETROLEUM SCIENCE AND TECHNOLOGY, 2010, 28 (17) : 1788 - 1798
  • [8] Application of response surface methodology for the optimization of oxidants in wheat flour
    Junqueira, R. M.
    Castro, I. A.
    Areas, J. A. G.
    Silva, A. C. C.
    Scholz, M. B. S.
    Mendes, S.
    Oliveira, K. C.
    FOOD CHEMISTRY, 2007, 101 (01) : 131 - 139
  • [9] Application of response surface methodology and genetic algorithm in the prediction and optimization of the ductile properties of mild steel weld
    Sada, Samuel Oro-oghene
    Eyenubo, Jonathan O.
    Atikpo, Eguakhide
    Amagre, Monday Esiri
    WELDING INTERNATIONAL, 2024, 38 (02) : 140 - 152
  • [10] Polynomial genetic programming for response surface modeling Part 2: adaptive approximate models with probabilistic optimization problems
    Yeun, YS
    Kim, BJ
    Yang, YS
    Ruy, WS
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2005, 29 (01) : 35 - 49
12345