activity
20222026
most citedEvolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

When Does a Language Model Commit? A Finite-Answer Theory of Pre-Verbalization Commitment

Long Zhang, Wei-neng Chen, Feng-feng Wei +1

Language models often generate reasoning before giving a final answer, but the visible answer does not reveal when the model's answer preference became stable. We study this questi…

cs.MA2026

Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen +1

Distributed blackbox consensus optimization is a fundamental problem in multi-agent systems, where agents must improve a global objective using only local objective queries and lim…

cs.NE2023

CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization

Feng-Feng Wei, Wei-Neng Chen, Xiao-Qi Guo +3

Crowdsourcing is an emerging computing paradigm that takes advantage of the intelligence of a crowd to solve complex problems effectively. Besides collecting and processing data, i…

cs.NE2023★ 4 cited

A Survey on Distributed Evolutionary Computation

Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao +2

The rapid development of parallel and distributed computing paradigms has brought about great revolution in computing. Thanks to the intrinsic parallelism of evolutionary computati…

cs.NE2022★ 6 cited

Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization

Bowen Zhao, Wei-Neng Chen, Feng-Feng Wei +3

Evolutionary algorithms (EAs), such as the genetic algorithm (GA), offer an elegant way to handle combinatorial optimization problems (COPs). However, limited by expertise and reso…