102 citations · 191 across the 11 of their papers we have counts for
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cs.NE2017★ 20 cited
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation
Miqing Li, Xin Yao
The quality of solution sets generated by decomposition-based evolutionary multiobjective optimisation (EMO) algorithms depends heavily on the consistency between a given problem's…
cs.NE2017★ 25 cited
How to Read Many-Objective Solution Sets in Parallel Coordinates
Miqing Li, Liangli Zhen, Xin Yao
Rapid development of evolutionary algorithms in handling many-objective optimization problems requires viable methods of visualizing a high-dimensional solution set. Parallel coord…
cs.NE2017★ 5 cited
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization
Miqing Li, Xin Yao
One of the most common approaches for multiobjective optimization is to generate a solution set that well approximates the whole Pareto-optimal frontier to facilitate the later dec…