Comparison of Satisfaction between the proposed algorithm and the traditional ant colony algorithm.

<p>Comparison of Satisfaction between the proposed algorithm and the traditional ant colony algorithm.</p>

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Bibliographic Details
Main Author:	Yang Yu (4292) (author)
Other Authors:	YueLin Jiang (20775787) (author), Zeng Dou (20775790) (author), Li Cong (528965) (author), Wei Huang (36889) (author), Qiang Zhang (45005) (author), Yang Hu (315392) (author), YanJun Bi (20775793) (author)
Published:	2025
Subjects:	Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified intelligent tuning method improving network performance four key areas established network topology routing optimization serves state selection strategy pheromone update strategy mitigating transmission risks priority services even risk prevention capabilities specific service requests ant colony algorithm alternate routing path lowest risk costs service transmission reliability primary routing path routing algorithm service transmission service priority path satisfaction effective strategy alternate paths risk information operational risk enhanced risk service scheduling reconfiguration algorithm algorithm provides algorithm outputs xlink "> valuable reference time costs standby paths simulation results significantly enhance reliable operation paper introduces operational planning improvement validates heuristic information enhancements aim comprehensive assessment builds upon
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