activity
20152022
most citedAn Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions

23 citations · 64 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.NE20181 cited

Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems

Zhun Fan, Wenji Li, Zhaojun Wang +6

This paper proposes a push and pull search method in the framework of differential evolution (PPS-DE) to solve constrained single-objective optimization problems (CSOPs). More spec…

cs.CV2018

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

Zhichao Lu, Ian Whalen, Vishnu Boddeti +4

This paper introduces NSGA-Net -- an evolutionary approach for neural architecture search (NAS). NSGA-Net is designed with three goals in mind: (1) a procedure considering multiple…

cs.CV2018

Automated Strabismus Detection for Telemedicine Applications

Jiewei Lu, Zhun Fan, Ce Zheng +4

Strabismus is one of the most influential ophthalmologic diseases in human's life. Timely detection of strabismus contributes to its prognosis and treatment. Telemedicine, which ha…

cs.NE2018

MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems

Zhun Fan, Yi Fang, Wenji Li +3

This paper proposes a novel constraint-handling mechanism named angle-based constrained dominance principle (ACDP) embedded in a decomposition-based multi-objective evolutionary al…

cs.RO20181 cited

Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator

Zhun Fan, Yugen You, Haodong Zheng +5

A new kind of six degree-of-freedom teaching manipulator without actuators is designed, for recording and conveniently setting a trajectory of an industrial robot. The device requi…