Multi-Objective Optimization of Production Objectives Based on Surrogate Model

被引：8

作者：

Cervenanska, Zuzana ^{[1
]}

Kotianova, Janette ^{[1
]}

Vazan, Pavel ^{[1
]}

Juhasova, Bohuslava ^{[1
]}

Juhas, Martin ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Fac Mat Sci & Technol Trnava, Trnava 91724, Slovakia

来源：

APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 21期

关键词：

multi-objective optimization; metamodel; surrogate model; manufacturing system; simulation-based optimization; DESIGN;

D O I：

10.3390/app10217870

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The article addresses an approximate solution to the multi-objective optimization problem for a black-box function of a manufacturing system. We employ the surrogate of the discrete-event simulation model of a batch production system in an analytical form. Integration of simulation, Design of Experiments methods, and Weighted Sum and Weighted Product multi-objective methods are used in an arrangement of a priori defined preferences to find a solution near the Pareto optimal solution in a criterion space. We compare the results obtained through the analytical approach to the outcomes of simulation-based optimization. The observed results indicate a possibility to apply the suitable analytical model for quickly finding the acceptable approximate solution close to the Pareto optimal front.

引用

页数：18

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