Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application

被引:26
|
作者
Rocco, CM [1 ]
Moreno, JA [1 ]
Carrasquero, N [1 ]
机构
[1] Cent Univ Venezuela, Fac Ingn, Caracas 1040A, Venezuela
关键词
modelling and simulation; evolutionary strategy; interval arithmetic; robust design; global optimisation; sensitivity analysis;
D O I
10.1016/S0951-8320(02)00226-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sensitivity analysis is a technique by which one can determine, with good approximation, whether a system will work within the specification limits when the input vary between their limits. Although this type of analysis, from input to output, can provide useful information to the decision-maker, we present an approach based on the use of Cellular Evolutionary Strategies and Interval Arithmetic in which the inverse problem can be solved. That is, we move from output to input: starting with output range specifications, we infer the maximum uncertainty or variability that can be exhibited by the input parameters. The approach used is an indirect method based on optimisation instead of a direct method based on mapping from the output into the input space. The proposed approach is illustrated by computational examples applied to a reliability complex system. Results are compared with those obtained using a general non-linear optimisation package. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:149 / 159
页数:11
相关论文
共 49 条
  • [31] Topology optimization for compliant mechanisms, using evolutionary-hybrid algorithms and application to the design of auxetic materials
    Kaminakis, Nikolaos T.
    Stavroulakis, Georgios E.
    COMPOSITES PART B-ENGINEERING, 2012, 43 (06) : 2655 - 2668
  • [32] Efficient reliability-based design optimization using a hybrid space with application to finite element analysis
    Kharmanda, G
    Mohamed, A
    Lemaire, M
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2002, 24 (03) : 233 - 245
  • [33] Efficient reliability-based design optimization using a hybrid space with application to finite element analysis
    G. Kharmanda
    A. Mohamed
    M. Lemaire
    Structural and Multidisciplinary Optimization, 2002, 24 (3) : 233 - 245
  • [34] Combining H∞ approach and interval tools to design a low order and robust controller for systems with parametric uncertainties: application to piezoelectric actuators
    Khadraoui, Sofiane
    Rakotondrabe, Micky
    Lutz, Philippe
    INTERNATIONAL JOURNAL OF CONTROL, 2012, 85 (03) : 251 - 259
  • [35] A Hybrid Reliability-Based Design Optimization Approach with Adaptive Chaos Control Using Kriging Model
    Li, Gang
    Meng, Zeng
    Hao, Peng
    Hu, Hao
    INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2016, 13 (01)
  • [36] Reliability-based Robust Design Optimization: A Multi-objective Framework Using Hybrid Quality Loss Function
    Yadav, Om Prakash
    Bhamare, Sunil S.
    Rathore, Ajay
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2010, 26 (01) : 27 - 41
  • [37] Evolutionary Multiobjective Design Approach for Robust Balancing of the Shaking Force, Shaking Moment, and Torque under Uncertainties: Application to Robotic Manipulators
    Mejia-Rodriguez, Ricardo
    Villarreal-Cervantes, Miguel Gabriel
    Rodriguez-Molina, Alejandro
    Perez-Cruz, Jose Humberto
    Silva-Garcia, Victor Manuel
    MATHEMATICS, 2023, 11 (08)
  • [38] An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
    Nicosia, Giuseppe
    Rinaudo, Salvatore
    Sciacca, Eva
    RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXIV, 2008, : 7 - +
  • [39] An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
    Nicosia, Giuseppe
    Rinaudo, Salvatore
    Sciacca, Eva
    KNOWLEDGE-BASED SYSTEMS, 2008, 21 (03) : 175 - 183
  • [40] Economic, robust and quality design of engineering systems using a hybrid six sigma-second moment approach
    Li, Qiuyang
    Savage, Gordon J.
    Son, Young Kap
    International Journal of Performability Engineering, 2015, 11 (04) : 381 - 394