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Dynamic Flying Ant Colony Optimization (DFACO) for Solving the Traveling Salesman Problem
This paper presents an adaptation of the flying ant colony optimization (FACO) algorithm to solve the traveling salesman problem (TSP). This new modification is called dynamic flying ant colony optimization (DFACO). FACO was originally proposed to solve the quality of service (QoS)-aware web service...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6514928/ https://ncbi.nlm.nih.gov/pubmed/30999688 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19081837 |
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