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 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 64 Issue: 1-4
  • Publication Date: 2013
  • Doi Number: 10.1007/s00170-012-4013-7
  • Title of Journal : INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Page Numbers: pp.55-61
  • Keywords: Milling operation, Cuckoo search, Optimization, GENETIC ALGORITHM, OPTIMIZATION PROBLEMS, DESIGN OPTIMIZATION, IMMUNE ALGORITHM

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.