DocumentCode
2484272
Title
Ant Colony Optimization for Multi-Objective Optimization Problems
Author
Alaya, Inès ; Solnon, Christine ; Ghédira, Khaled
Author_Institution
Nat. Sch. of Comput. Sci., Manouba
Volume
1
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
450
Lastpage
457
Abstract
We propose in this paper a generic algorithm based on ant colony optimization to solve multi-objective optimization problems. The proposed algorithm is parameterized by the number of ant colonies and the number of pheromone trails. We compare different variants of this algorithm on the multi-objective knapsack problem. We compare also the obtained results with other evolutionary algorithms from the literature.
Keywords
optimisation; ant colony optimization; evolutionary algorithms; generic algorithm; multi-objective knapsack problem; multi-objective optimization problems; Ant colony optimization; Artificial intelligence; Constraint optimization; Cost function; Evolutionary computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.108
Filename
4410319
Link To Document