A hybrid GA-AIS heuristic for optimization of multipass turning operations

  • Authors:
  • Lee Yi Zheng;S. G. Ponnambalam

  • Affiliations:
  • School of Engineering, Monash University, Petaling Jaya, Selangor, Malaysia;School of Engineering, Monash University, Petaling Jaya, Selangor, Malaysia

  • Venue:
  • ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, three versions of a hybrid heuristic algorithm by combining genetic algorithm (GA) and artificial immune system (AIS) is implemented to optimize the multipass turning process which has rough machining and then a finish machining. The objective function considered is minimization of unit production cost that optimizes the machining parameters. The performance of the GA-AIS is evaluated by comparing it with the best performing heuristics reported in the literature. It is observed that the proposed GA-AIS perform better than the heuristics reported in the literature.