Sequential transfer optimization (STO), which aims to improve optimizati...
Large-scale multiobjective optimization problems (LSMOPs) refer to
optim...
In recent years, to improve the evolutionary algorithms used to solve
op...
Deep neural networks are widely used in personalized recommendation syst...
Modern multicore systems are migrating from homogeneous systems to
heter...
Fast and accurate depth estimation, or stereo matching, is essential in
...
Vehicular fog computing (VFC) has been envisioned as a promising paradig...
The placement scheme of virtual machines (VMs) to physical servers (PSs)...
Dynamic multi-objective optimization problems (DMOPs) remain a challenge...
In this report, we suggest nine test problems for multi-task single-obje...
In this report, we suggest nine test problems for multi-task multi-objec...
A significantly under-explored area of evolutionary optimization in the
...