Exact and metahueristic approaches for optimizing the operations of chip mounter machines

Author

Demirkale, Hüseyin ; Duman, Ekrem ; Alkaya, Ali Fuat

Author_Institution

Comput. Sci. & Eng. Dept., Marmara Univ., Istanbul, Turkey

fYear

2010

fDate

8-10 Oct. 2010

Firstpage

120

Lastpage

125

Abstract

Artificial bee colony (ABC) algorithm is recently proposed algorithm that is inspired from the foraging behavior of honey bees in nature. ABC has been applied to the continuous numerical problems. In this study, we exploit ABC algorithm for optimizing the operations of chip mounter machines which are used for printed circuit board (PCB) assembly, and compared it with Simulated Annealing (SA). Experimental results comparing the proposed ABC and SA are presented. Moreover, the proximity of ABC and SA is compared with the optimal values.

Keywords

circuit optimisation; printed circuit manufacture; scheduling; simulated annealing; ABC algorithm; SA; artificial bee colony algorithm; chip mounter machine operation optimization; continuous numerical problems; printed circuit board assembly; simulated annealing; Assembly; Complexity theory; Computational modeling; Magnetic heads; Memory management; Random access memory; Runtime; Artificial bee colony; Chip Mounter Machines; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on

Conference_Location

Krackow

Print_ISBN

978-1-4244-7817-0

Type

conf

DOI

10.1109/CISIM.2010.5643677

Filename

5643677