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SIACO

Authors :
Otávio Noura Teixeira
Mario Tasso Ribeiro Serra Neto
Fabio dos Santos Ferreira
Demison Rolins de Souza Alves
Source :
ICMLSC
Publication Year :
2018
Publisher :
ACM, 2018.

Abstract

The following paper demonstrates the possibilities of adapting the Ant Colony Algorithm with Social Interaction coming from Game Theory. This novel algorithm, named Social Interaction Ant Colony Optimization (SIACO), were based on the Ant System Algorithm developed by Dorigo and Social Interaction created by Otavio Teixeira in Genetic Algorithm. A new phase was inserted in the Ant System and the game is performed by two ants inside the colony. Four instances of Travelling Salesman Problem (TSP) were used to validate the approach and its results shows that the proposed can be a rival of other algorithms when applied to this class of problems.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 2nd International Conference on Machine Learning and Soft Computing
Accession number :
edsair.doi...........85d9273400d5faa0672a4772550dc6cb
Full Text :
https://doi.org/10.1145/3184066.3184077