309 citations · 749 across the 34 of their papers we have counts for
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cs.NE2016★ 309 cited
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Zhun Fan, Wenji Li, Xinye Cai +5
Multi-objective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, but most of them are designed to solve unconstrained multi-objective optimization p…
cs.NE2016
Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization
Mengyuan Wu, Ke Li, Sam Kwong +2
The balance between convergence and diversity is a key issue of evolutionary multi-objective optimization. The recently proposed stable matching-based selection provides a new pers…
cs.NE2016
Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm
Jianyong Sun, Hu Zhang, Aimin Zhou +1
Evolutionary algorithms (EAs) have been well acknowledged as a promising paradigm for solving optimisation problems with multiple conflicting objectives in the sense that they are…