1 citations · 2 across the 3 of their papers we have counts for
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cs.NE2023
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization
Zhanglu Hou, Juan Zou, Gan Ruan +2
Evolutionary algorithms face significant challenges when dealing with dynamic multi-objective optimization because Pareto optimal solutions and/or Pareto optimal fronts change. Thi…
cs.NE2023★ 1 cited
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives
Gan Ruan, Leandro L. Minku, Stefan Menzel +2
Different from most other dynamic multi-objective optimization problems (DMOPs), DMOPs with a changing number of objectives usually result in expansion or contraction of the Pareto…
cs.NE2022★ 1 cited
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Gan Ruan, Leandro L. Minku, Zhao Xu +1
Intelligent techniques are urged to achieve automatic allocation of the computing resource in Open Radio Access Network (O-RAN), to save computing resource, increase utilization ra…