Работы, цитирующие эту работу

Работ: 4

Работа: An improved pathfinder algorithm using opposition-based learning for tasks scheduling in cloud environment

1. Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

   Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty +5

   СтатьяCloud Computing and Resource ManagementScientific Reports2023Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.085397

2. Dynamic gold rush optimizer: fusing worker adaptation and salp navigation mechanism for enhanced search

   Yanhua Zhang, Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda +2

   СтатьяMetaheuristic Optimization Algorithms ResearchScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000262

3. Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization

   Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ghanshyam G. Tejani +3

   СтатьяMachine Learning and ELMScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000504

4. Enhanced global optimization using quadratically interpolated hybrid pathfinder algorithm

   Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Abosede Omowumi Tibetan +1

   СтатьяMetaheuristic Optimization Algorithms ResearchCluster Computing2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000597