Meta-model assisted multi-objective optimization for non-steady 3D metal forming processes

نویسندگان
چکیده

برای دانلود رایگان 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

Metamodel Assisted Evolutionary Algorithm for Multi-objective Optimization of Non-steady Metal Forming Problems

Multi-objective optimization problems are considered in the field of non-steady metal forming processes, such as forging or wire drawing. The Pareto optimal front of the problem solution set is calculated by a Genetic Algorithm. In order to reduce the inherent computational cost of such algorithms, a surrogate model is developed and replaces the exact the function simulations. It is based on th...

متن کامل

A multi-objective optimization model for process targeting

Customers and consumers are the necessities for the survival of industries and organizations. Trying to improve the process in order to increase consumer satisfaction is the most important aim. The survival of an organization depends on its ability to continue the activities in compliance with the demands of customers to meet their legitimate needs. An organization is successful when it exactly...

متن کامل

An Adaptive Surrogate-Assisted Strategy for Multi-Objective Optimization

1. Abstract A sequential metamodel-based optimization method is proposed for multi-objective optimization problems. The algorithm, designated as Pareto Domain Reduction, is an adaptive sampling method and an extension of the classical Domain Reduction approach (also known as the Sequential Response Surface Method). In addition to standard benchmark examples, a Multidisciplinary Design Optimizat...

متن کامل

Multi-objective robust optimization model for social responsible closed-loop supply chain solved by non-dominated sorting genetic algorithm

In this study a supply chain network design model has been developed considering both forward and reverse flows through the supply chain. Total Cost, environmental factors such as CO2 emission, and social factors such as employment and fairness in providing job opportunities are considered in three separate objective functions. The model seeks to optimize the facility location proble...

متن کامل

Constrained Multi-objective Optimization Using Steady State Genetic Algorithms

In this paper we propose two novel approaches for solving constrained multi-objective optimization problems using steady state GAs. These methods are intended for solving real-world application problems that have many constraints and very small feasible regions. One method called Objective Exchange Genetic Algorithm for Design Optimization (OEGADO) runs several GAs concurrently with each GA opt...

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: International Journal of Material Forming

سال: 2009

ISSN: 1960-6206,1960-6214

DOI: 10.1007/s12289-009-0438-4