HandingWangXDGroup/AGSM-DE

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Python
Created almost 3 years ago
Updated almost 3 years ago

HandingWangXDGroup/AGSM-DE

HandingWangXDGroup

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

SAEAPRG

A Surrogate-Assisted Evolutionary Feature Selection Algorithm with Parallel Random Grouping for High-Dimensional Classification

MS-MOEA

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

SHEALED

Surrogate-Assisted Hybrid Evolutionary Algorithm with Local Estimation of Distribution (SHEALED) for Expensive Mixed-Variable Optimization Problems

KTS

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

TAEFS-Matlab

Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection

TT-DDEA

Pengfei Huang,Handing Wang,Yaochu Jin,Offine Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation, Accepted.

SADE-AMSS

The matlab code for SADE-AMSS

KTA2

The matlab code for KTA2

IBEA-MS

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

SRK-DDEA

Stochastic Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels

SAENAS-NE

MDR-SAEA

SAGIF

Constraint-Handling-OfflineDDEA

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

LDS-AF

SA2-MOEA

Formulating Approximation Error as Noise in Surrogate-Assisted Multi-Objective Evolutionary Algorithm

Canonical-PSO

DK-RVEA

SAEA-KPF

The Python code of SAEA-KPF

DSI

For expensive constrained optimization problem

DDEA-SW

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

AMVI-FGSM-Sp-

TSAT

Code for ACM MM2023 "Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information"

TSEA

A two-stage evolutionary algorithm for noisy bi-objective optimization