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SIACO
- 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.
- Subjects :
- Computer science
Ant colony optimization algorithms
010401 analytical chemistry
MathematicsofComputing_NUMERICALANALYSIS
020206 networking & telecommunications
02 engineering and technology
ComputingMethodologies_ARTIFICIALINTELLIGENCE
01 natural sciences
Class (biology)
Travelling salesman problem
0104 chemical sciences
Genetic algorithm
0202 electrical engineering, electronic engineering, information engineering
Game theory
Algorithm
Metaheuristic
Subjects
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