DocumentCode :
3208524
Title :
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
Link To Document :
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