Showing cs.NEShow all
3 papers · 1 filter
cs.NE2025
Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation
Zhiyuan Wang, Shengcai Liu, Peng Yang +1
Generalization is the core objective when training optimizers from data. However, limited training instances often constrain the generalization capability of the trained optimizers…
cs.NE2023
Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
Peng Yang, Laoming Zhang, Haifeng Liu +1
In recent years, various companies have started to shift their data services from traditional data centers to the cloud. One of the major motivations is to save on operational cost…
cs.NE2020
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution
Ke Tang, Shengcai Liu, Peng Yang +1
Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A…