DocumentCode :
657993
Title :
Artificial Bee Colony metaheuristic to optimize Goal Programming Engineering Design Problems
Author :
Dhouib, Souhail ; Dhouib, Souhail ; Chabchoub, Habib
Author_Institution :
Res. Unit of L.O.G.I.Q., Univ. of Sfax, Sfax, Tunisia
fYear :
2013
fDate :
6-8 May 2013
Firstpage :
355
Lastpage :
358
Abstract :
In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to optimize Goal Programming (GP) Engineering Design Problems. The ABC is personalized to support the GP by means of minimizing deviations from fixed goals. This proposed metaheuristic is named Goal Programming Artificial Bee Colony (GP-ABC). By computer simulations, it is shown that the performance of the GP-ABC is better than the previous metaheuristics using very few user-defined parameters.
Keywords :
design engineering; mathematical programming; ABC metaheuristic; GP-ABC; artificial bee colony metaheuristic; computer simulations; engineering design problems; goal programming artificial bee colony; Algorithm design and analysis; Biological system modeling; Computational modeling; Genetic algorithms; Optimization; Programming; Search problems; Continuous Optimization; Engineering Design Problems; Metaheuristic; artificial bee colony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
Type :
conf
DOI :
10.1109/CoDIT.2013.6689570
Filename :
6689570
Link To Document :
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