International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 148 - Issue 14 |
Published: Aug 2016 |
Authors: Alaa Aljanaby |
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Alaa Aljanaby . An Experimental Study of the Search Stagnation in Ants Algorithms. International Journal of Computer Applications. 148, 14 (Aug 2016), 1-4. DOI=10.5120/ijca2016910861
@article{ 10.5120/ijca2016910861, author = { Alaa Aljanaby }, title = { An Experimental Study of the Search Stagnation in Ants Algorithms }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 148 }, number = { 14 }, pages = { 1-4 }, doi = { 10.5120/ijca2016910861 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Alaa Aljanaby %T An Experimental Study of the Search Stagnation in Ants Algorithms%T %J International Journal of Computer Applications %V 148 %N 14 %P 1-4 %R 10.5120/ijca2016910861 %I Foundation of Computer Science (FCS), NY, USA
This paper conducts experimental tests to study the stagnation behavior the Interacted Multiple Ant Colonies Optimization (IMACO) framework. The idea of different ant colonies use different types of problem dependent heuristics has been proposed as well. The performance of IMACO was demonstrated by comparing it with the Ant Colony System (ACS) the best performing ant algorithm. The computational results show the dominance of IMACO and that IMACO suffers less from stagnation than ACS.