109 citations · 370 across the 14 of their papers we have counts for
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cs.NE2020
On Statistical Analysis of MOEAs with Multiple Performance Indicators
Hao Wang, Carlos Igncio Hernández Castellanos, Tome Eftimov
Assessing the empirical performance of Multi-Objective Evolutionary Algorithms (MOEAs) is vital when we extensively test a set of MOEAs and aim to determine a proper ranking thereo…
cs.NE2020★ 15 cited
Benchmarking a Genetic Algorithm with Configurable Crossover Probability
Furong Ye, Hao Wang, Carola Doerr +1
We investigate a family of Genetic Algorithms (GAs) which creates offspring either from mutation or by recombining two randomly chosen parents. By scaling the crossover pro…