7 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.NE2024★ 5 cited
Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
Ryoji Tanabe
Differential evolution (DE) generally requires parameter control methods (PCMs) for the scale factor and crossover rate. Although a better understanding of PCMs provides a useful c…
cs.NE2023★ 1 cited
Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Ryoji Tanabe
Normalization of objectives plays a crucial role in evolutionary multi-objective optimization (EMO) to handle objective functions with different scales, which can be found in real-…
cs.NE2023★ 7 cited
On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Ryoji Tanabe
Although the population size is an important parameter in evolutionary multi-objective optimization (EMO), little is known about its influence on preference-based EMO (PBEMO). The…