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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs. Artificial ants represent multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is…
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ant ants colony pheromone algorithm algorithms optimization artificial aco system search problem based problems solutions dorigo graph edge solution displaystyle
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| bees | instance of | Pheromone is used by social insects | 0.80 | text |
| ants | instance of | Pheromone is used by social insects | 0.80 | text |
| termites | instance of | Pheromone is used by social insects | 0.80 | text |
| chemical or physical | instance of | Pheromone-based communication was implemented by different means | 0.80 | text |
| Ant colony optimization algorithms | has application | Ant | 0.60 | section |
| Ant colony optimization algorithms | has application | It | 0.60 | section |
| Ant colony optimization algorithms | has application | They | 0.60 | section |
| Ant colony optimization algorithms | has application | This | 0.60 | section |
| Ant colony optimization algorithms | has application | The | 0.60 | section |
| Ant colony optimization algorithms | has application | ACO | 0.60 | section |
| Ant colony optimization algorithms | has application | At | 0.60 | section |
| Ant colony optimization algorithms | related to Algorithm and formula | In | 0.60 | section |
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