Multifactorial Memetic Algorithm with Adaptive Auxiliary Tasks for Service Migration Optimization in Mobile Edge Computing
Guo Li,
Zhaobo Liu,
Ling Liu
et al.
Abstract:In high-speed mobile networks, mobile edge computing is tasked with service migration optimization, i.e., assigning mobile users to the right servers to minimize the response time. Service migration optimization is a complex problem posing significant challenges to conventional optimization methods. To tackle this problem , we develop a multifactorial memetic algorithm with adaptive auxiliary tasks or MFMA-AAT for short. MFMA-AAT solves the target service migration optimization problem and an adaptively select… Show more
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