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Yuren Zhou

4 papers hereh-index 333.6k citations106 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NE4
same name
  • Yuren Zhou — 7 papers
  • Yuren Zhou — 2 papers
  • Yuren Zhou — 1 paper
  • Yuren Zhou — 1 paper
  • Yuren Zhou — 1 paper, h 0
  • Yuren Zhou — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedMMES: Mixture Model based Evolution Strategy for Large-Scale Optimization

33 citations · 33 across the 3 of their papers we have counts for

collaborators

4 papers

cs.NE2022

Distributed Evolution Strategies for Black-box Stochastic Optimization

Xiaoyu He, Zibin Zheng, Chuan Chen +3

This work concerns the evolutionary approaches to distributed stochastic black-box optimization, in which each worker can individually solve an approximation of the problem with na…

cs.NE2022★ 33 cited

MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization

Xiaoyu He, Zibin Zheng, Yuren Zhou

This work provides an efficient sampling method for the covariance matrix adaptation evolution strategy (CMA-ES) in large-scale settings. In contract to the Gaussian sampling in CM…

cs.NE2018

A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms

Jun He, Yu Chen, Yuren Zhou

In the empirical study of evolutionary algorithms, the solution quality is evaluated by either the fitness value or approximation error. The latter measures the fitness difference…

cs.NE2015

Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem

Jun He, Yong Wang, Yuren Zhou

Multi-objective optimisation is regarded as one of the most promising ways for dealing with constrained optimisation problems in evolutionary optimisation. This paper presents a th…

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