Sustainable bridge design by metamodel-assisted multi-objective optimization and decision-making under uncertainty

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-objective Optimization Approach for Robust Design under Uncertainty

This paper presents a new strategy for synthesizing an appropriate process with multi-objective under uncertainty. The uncertainty is classified depending on its sources and mathematical model structure as deterministic or stochastic. The proposed methodology is a two-layer algorithm. In the outer layer, the synthesis problem is represented by a multi-objective optimization problem considering ...

متن کامل

Multi Objective Optimization under Uncertainty for Catamaran Preliminary Design

The decision tools for high speed craft HSC design have improved due to the increasing computer ability to treat more complex problems. Genetic algorithms and multi objective problems where the mathematical models used are complex and take computer time to evaluate and select the feasible designs are very common nowadays. Uncertainty also is very frequent in high speed vessel design variables a...

متن کامل

Evolutionary Optimization for Decision Making under Uncertainty

Optimizing decision problems under uncertainty can be done using a variety of solution methods. Soft computing and heuristic approaches tend to be powerful for solving such problems. In this overview article, we survey Evolutionary Optimization techniques to solve Stochastic Programming problems both for the single-stage and multi-stage case.

متن کامل

Multi-objective design space exploration under uncertainty

In this work, we propose a new technique for efficiently exploring a multiobjective design space to find non-dominated solutions in the presence of uncertainty. Our approach uses a two-stage optimization technique. In the first-stage, the design problem is represented by a multi-objective optimization problem considering the performances associated with design parameters. In the second stage, t...

متن کامل

A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization

The high computational cost of population based optimization methods, such as multiobjective genetic algorithms (MOGAs), has been preventing applications of these methods to realistic engineering design problems. The main challenge is to devise methods that can significantly reduce the number of simulation (objective/constraint functions) calls. We present a new multi-objective design optimizat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Cleaner Production

سال: 2018

ISSN: 0959-6526

DOI: 10.1016/j.jclepro.2018.08.177