activity
20162022
most citedFEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software

85 citations · 149 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.NE2018★ 2 cited

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions

Ke Li, Renzhi Chen, Dragan Savic +1

Decomposition has become an increasingly popular technique for evolutionary multi-objective optimization (EMO). A decomposition-based EMO algorithm is usually designed to approxima…