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
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