33 citations · 37 across the 4 of their papers we have counts for
5 papers · 1 filter
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
Jun He, Yuren Zhou
The fitness level method is a popular tool for analyzing the hitting time of elitist evolutionary algorithms. Its idea is to divide the search space into multiple fitness levels an…
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…
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…
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…
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…