Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes

被引：114
|
作者：
Yildiz, Betul Sultan [1 ]
Yildiz, Ali Riza [1 ]
机构：
[1] Bursa Tech Univ, Dept Mech Engn, Bursa, Turkey
来源：
MATERIALS TESTING | 2017年 / 59卷 / 05期
关键词：
Moth-flame algorithm; optimization; milling operation; manufacturing; STRUCTURAL DESIGN; GENETIC ALGORITHM;
D O I：
10.3139/120.111024
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
In this research, a newly developed moth-flame optimization algorithm (MFO) is presented for solving optimization problems in manufacturing industry. A well-known milling optimization problem is solved to emphasize the effectiveness of the MFO in the optimization of manufacturing problems. In the optimization problem solved in this paper, the main aim is to maximize the profit rate for multi-tool milling operations considering difficult constraints. The results demonstrate that the MFO is an effective optimization method for the solution of manufacturing optimization problems.
引用
收藏
页码：425 / 429
页数：5
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