2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2025
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms
Yuxin Ma, Zherui Zhang, Ran Cheng +2
In the domain of multi-objective optimization, evolutionary algorithms are distinguished by their capability to generate a diverse population of solutions that navigate the trade-o…
cs.NE2024
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics
Zherui Zhang, Fan Yang, Ran Cheng +1
Multi-objective evolutionary algorithms (MOEAs) have emerged as powerful tools for solving complex optimization problems characterized by multiple, often conflicting, objectives. W…
cs.NE2023★ 2 cited
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization
Yansong Huang, Zherui Zhang, Ao Jiao +2
Evolutionary multi-objective optimization (EMO) algorithms have been demonstrated to be effective in solving multi-criteria decision-making problems. In real-world applications, an…