Adjustable Pheromone Reinforcement Strategies for Problems with Efficient Heuristic Information
Ant colony optimization (ACO) is a well-known class of swarm intelligence algorithms suitable for solving many NP-hard problems. An important component of such algorithms is a record of pheromone trails that reflect colonies’ experiences with previously constructed solutions of the problem instance...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2023-05-01
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| Serie: | Algorithms |
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| Accesso online: | https://www.mdpi.com/1999-4893/16/5/251 |
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