3 papers
cs.NE2026
First Mathematical Runtime Analyses of Evolutionary Multitask Multi-Objective Optimization
Danyang Zhang, Weijie Zheng
To facilitate the solving of complex problems, evolutionary multitask optimization is regarded as a promising technique due to its capacity for cross-task knowledge transfer. In co…
cs.NE2026
First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
Mingfeng Li, Zheng Cheng, Weijie Zheng +1
Problems defined on binary decision spaces have been intensively studied in the theory of multi-objective evolutionary algorithms (MOEAs). In contrast, no mathematical runtime anal…
cs.NE2025
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
Mingfeng Li, Weijie Zheng, Benjamin Doerr
Different from single-objective evolutionary algorithms, where non-elitism is an established concept, multi-objective evolutionary algorithms almost always select the next populati…