Cuckoo search algorithm for the selection of optimal machining parameters in milling operations

Yildiz A. R.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol.64, no.1-4, pp.55-61, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 64 Issue: 1-4
  • Publication Date: 2013
  • Doi Number: 10.1007/s00170-012-4013-7
  • Journal Name: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.55-61
  • Keywords: Milling operation, Cuckoo search, Optimization, GENETIC ALGORITHM, OPTIMIZATION APPROACH, DESIGN OPTIMIZATION, IMMUNE ALGORITHM
  • Bursa Uludag University Affiliated: Yes

Abstract

In this research, a new optimization algorithm, called the cuckoo search algorithm (CS) algorithm, is introduced for solving manufacturing optimization problems. This research is the first application of the CS to the optimization of machining parameters in the literature. In order to demonstrate the effectiveness of the CS, a milling optimization problem was solved and the results were compared with those obtained using other well-known optimization techniques like, ant colony algorithm, immune algorithm, hybrid immune algorithm, hybrid particle swarm algorithm, genetic algorithm, feasible direction method, and handbook recommendation. The results demonstrate that the CS is a very effective and robust approach for the optimization of machining optimization problems.