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Featured Co-authors

Hisao Ishibuchi
31 publications
Yang Nan
13 publications
Weiyu Chen
9 publications
Tianye Shu
7 publications
Lie Meng Pang
5 publications
Weiduo Liao
2 publications
Hisao Ishibuhci
1 publication

∙ 09/07/2022

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization

An unbounded external archive has been used to store all nondominated so...

0 Tianye Shu, et al. ∙

∙ 03/04/2022

HV-Net: Hypervolume Approximation based on DeepSets

In this letter, we propose HV-Net, a new method for hypervolume approxim...

0 Ke Shang, et al. ∙

∙ 01/18/2022

Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation

Hypervolume contribution is an important concept in evolutionary multi-o...

0 Ke Shang, et al. ∙

∙ 01/18/2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

In the evolutionary multi-objective optimization (EMO) field, the standa...

0 Ke Shang, et al. ∙

∙ 08/19/2021

Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization

Subset selection is an important component in evolutionary multiobjectiv...

0 Weiyu Chen, et al. ∙

∙ 04/20/2021

Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions

Hypervolume is widely used in the evolutionary multi-objective optimizat...

0 Ke Shang, et al. ∙

∙ 02/01/2021

Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

Subset selection is an interesting and important topic in the field of e...

0 Weiyu Chen, et al. ∙

∙ 12/14/2020

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets

It is assumed in the evolutionary multi-objective optimization (EMO) com...

0 Hisao Ishibuchi, et al. ∙

∙ 08/17/2020

Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks

The development of efficient and effective evolutionary multi-objective ...

0 Lie Meng Pang, et al. ∙

∙ 07/27/2020

Algorithm Configurations of MOEA/D with an Unbounded External Archive

In the evolutionary multi-objective optimization (EMO) community, it is ...

0 Lie Meng Pang, et al. ∙

∙ 07/04/2020

Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets

Subset selection is a popular topic in recent years and a number of subs...

0 Weiyu Chen, et al. ∙

∙ 06/15/2020

Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization

In general, a multi-objective optimization problem does not have a singl...

0 Hisao Ishibuchi, et al. ∙

∙ 03/22/2020

Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms

Recently, the discretization of decision and objective spaces has been d...

0 Weiyu Chen, et al. ∙

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