Neurocomputing strategies for solving reliability‐robust design optimization problems
From MaRDI portal
Publication:5405981
DOI10.1108/02644401011073674zbMath1284.74095OpenAlexW2086268480WikidataQ57577826 ScholiaQ57577826MaRDI QIDQ5405981
Vagelis Plevris, Nikos D. Lagaros, Manolis Papadrakakis
Publication date: 4 April 2014
Published in: Engineering Computations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/02644401011073674
Neural networks for/in biological studies, artificial life and related topics (92B20) Optimization of other properties in solid mechanics (74P10)
Related Items
Cites Work
- The challenge of equality constraints in robust design optimization: examination and new approach
- Survey of multi-objective optimization methods for engineering
- Robust design of nonlinear structures using optimization methods
- Robust optimization - a comprehensive survey
- Optimization of structures with uncertain constraints based on convex model and satisfaction degree of interval
- Structural reliability analysis of elastic-plastic structures using neural networks and Monte Carlo simulation
- Reliability-based structural optimization using neural networks and Monte Carlo simulation
- Structural optimization using evolution strategies and neural networks
- Multi-database exploration of large design spaces in the framework of cascade evolutionary structural sizing optimization
- An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization
- Multi-objective design optimization using cascade evolutionary computations
- Innovative seismic design optimization with reliability constraints
- An efficient reliability-based optimization scheme for uncertain linear systems subject to general Gaussian excitation
- An efficient framework for optimal robust stochastic system design using stochastic simulation
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Advanced solution methods in structural optimization based on evolution strategies
- Monte Carlo Variance of Scrambled Net Quadrature
- Reliability-based preform shape design in forging
This page was built for publication: Neurocomputing strategies for solving reliability‐robust design optimization problems