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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007)
Ant Colony Optimization for Multi-Objective Optimization Problems
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
ASCII Text
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In? Alaya, Christine Solnon, Khaled Gh?dira, "Ant Colony Optimization for Multi-Objective Optimization Problems," Tools with Artificial Intelligence, IEEE International Conference on, vol. 1, pp. 450-457, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICTAI.2007.108,
author = {In? Alaya and Christine Solnon and Khaled Gh?dira},
title = {Ant Colony Optimization for Multi-Objective Optimization Problems},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {1},
year = {2007},
issn = {1082-3409},
pages = {450-457},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.108},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Ant Colony Optimization for Multi-Objective Optimization Problems
SN - 1082-3409
SP450
EP457
A1 - In? Alaya,
A1 - Christine Solnon,
A1 - Khaled Gh?dira,
PY - 2007
VL - 1
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
We propose in this paper a generic algorithm based on Ant Colony Optimization to solve multi-objective optimiza- tion 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.
Citation:
In? Alaya, Christine Solnon, Khaled Gh?dira, "Ant Colony Optimization for Multi-Objective Optimization Problems," ictai, vol. 1, pp.450-457, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007
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