HIGHLIGHTS
- who: Mulki Indana Zulfa et al. from the Department of Electrical Engineering and Information Technology, Yogyakarta, Indonesia Department of Electrical Engineering, Jenderal Soedirman University, Purbalingga, Indonesia have published the Article: LRU-GENACO: A Hybrid Cached Data Optimization Based on the Least Used Method Improved Using Ant Colony and Genetic Algorithms, in the Journal: Electronics 2022, 11, 2978. of /2022/
- what: The authors propose LRU-GENACO as a hybrid method of Ant Colony, Genetic Algorithm (GENACO), and LRU, to be a cached data offloading solution that can overcome the issue of cache pollution to increase the . . .
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