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agsm-de

An Approximated Gradient Sign Method Using Differential Evolution For Black-box Adversarial Attack

aiea

amvi-fgsm-sp-

bayesin-signed-rank-tests-results-

The results of performing Bayesian signed-rank test between IBEA-MS and AK-IBEA variants on each problem. On each problem, we create a result matrix of size 30*4 with the results of 30 independent runs of the four algorithms (AK-IBEA1, AK-IBEA2, AK-IBEA3 and IBEA-MS). Then, we compare the AK-IBEA columns with IBEA-MS respectively and perform the Bayesian signed-rank test to get the result figures. In addition, all problems are subjected to Bayesian signed-rank tests under two evaluation metrics, IGD and HV, respectively.

canonical-pso

constraint-handling-offlineddea

Comparative Empirical Study on Constraint Handling in Offline Data-Driven Evolutionary Optimization

cso

ddea-sw

Offline Data-Driven Mixed-Variable Optimization Algorithm Using a Step-Wise Strategy

dk-rvea

w

dsi

For expensive constrained optimization problem

eahvfa

fgsm-pco

fns-beo

gate-darts

glsmop

A general LSMOP test suite

hs

ibea-ms

IBEA-MS: Performance Indicator based Adaptive Model Selection for Offline Data-Driven Multi-Objective Evolutionary Optimization

ice-moeamv

Infill Criterion Ensemble in Surrogate-Assisted Multi-Objective Evolutionary Algorithm

kta2

The matlab code for KTA2

kta2-in-python

kts

Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization

lce-saea

lds-af

ls-pso

mdr-saea

ms-moea

An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization

nr-ibea

A Noise-Resistant Infill Sampling Criterion in Surrogate-Assisted Multi-Objective Evolutionary Algorithms

offlinemvop

regression model and classification model for constraints modeling in Mixed-Variable DDEA

pbf

A Framework for Expensive Many-Objective Optimization with Pareto-based Bi-indicator Infill Sampling Criterion

reg_cls_ddscop

regression model and classification model for constraints modeling in DDEA