A Software System to Solve the Multi-Criteria Optimization Problem with Stochastic Constraints

被引：2

作者：

Bohdanova, L. M. ^{[1
]}

Vasilyeva, L. V. ^{[1
]}

Guzenko, D. E. ^{[1
]}

Kolodyazhny, V. M. ^{[2
]}

机构：

[1] Donbass State Mech Engn Acad, Kramatorsk, Ukraine

[2] Kharkiv Natl Automobile & Highway Univ, Kharkov, Ukraine

来源：

CYBERNETICS AND SYSTEMS ANALYSIS | 2018年 / 54卷 / 06期

关键词：

technological process; machining; optimization; neural networks; genetic algorithm; hybrid algorithm; stochastic optimization; !text type='Java']Java[!/text] programming language;

D O I：

10.1007/s10559-018-0104-2

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents a genetic algorithm for multicriteria optimization of parameters of a technological process, which finds a solution not from a certain point but from a specified population. The objective functions are used without their derivatives and probabilistic choice rules are applied. The multicriteria optimization is based on finding a solution that simultaneously optimizes the machining parameters defined by functions of productivity, tool consumption, tool cost, etc.

引用

页码：1013 / 1018

页数：6