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


Yildiz B. S. , Yildiz A. R.

MATERIALS TESTING, vol.59, no.5, pp.425-429, 2017 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 59 Issue: 5
  • Publication Date: 2017
  • Doi Number: 10.3139/120.111024
  • Journal Name: MATERIALS TESTING
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.425-429
  • Keywords: Moth-flame algorithm, optimization, milling operation, manufacturing, STRUCTURAL DESIGN, GENETIC ALGORITHM

Abstract

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.