This respository aims to maintain a list of useful relevant papers and open source codes for Data-Driven Evolutionary Algorithms (DDEAs).
Maintained by members in SCUT-Ailab: Yuanting Zhong, Haogan Huang, Xianrong Zhang, Yuhong Sun and Yuejiao Gong.
| 1. Survey |
| 2. Global Optimization |
| 3. Multi-Objective Optimization |
| 4. Large-Scale Optimization |
| 5. Dynamic Optimization |
| 6. Federated Data-Driven Optimization |
| 7. Others & Applications |
Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science 2021 book
Yaochu Jin, Handing Wang, Chaoli Sun
Open Issues in Surrogate-Assisted Optimization 2020 book chapter
Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks and Tea Tušar
Data-Driven Evolutionary Optimization: An Overview and Case Studies 2019 paper
Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo and Kaisa Miettinen
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms 2019 paper
Tinkle Chugh, Karthik Sindhya, Jussi Hakanen and Kaisa Miettinen
| Algorithm | Paper | Original Repository |
|---|---|---|
| CL-DDEA [offline] | Contrastive Learning: An Alternative Surrogate for Offline Data-Driven Evolutionary Computation 2023 paper | YuejiaoGong/CL-DDEA |
| MS-DDEO [offline] | Offline data‐driven evolutionary optimization based on model selection 2022 paper | - |
| SDH-Jaya | A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism 2022 paper | zzzhhh-320/SDHJAYA |
| ESA | Evolutionary Sampling Agent for Expensive Problems 2022 paper | zhenhuixiang/EAS code.zip |
| CA-LLSO | A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization 2021 paper | CarrieWei/CA-LLSO_Code |
| TT-DDEA [offline] | Offine Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation 2021 paper | Mikasa210/TT-DDEA |
| DESO | Data-driven evolutionary sampling optimization for expensive problems 2021 paper | zhenhuixiang/DESO code.zip |
| BiS-SAHA | A bi-stage surrogate assisted hybrid algorithm for expensive optimization problems 2021 paper | IIS-tyust/BiS-SAHA |
| SAEA-RFS | A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems 2020 paper | GuoxiaFu/SAEA_RFS |
| BDDEA-LDG [offline] | Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation 2020 paper | - |
| TL-SSLPSO | Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem 2020 paper | yuhaibo2017/TL-SSLPSO |
| TSA-BFEA | Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm 2020 paper | HandingWang/TSA-BFEA |
| DDEA-SE [offline] | Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles 2019 paper | HandingWang/DDEA-SE |
| GORS-SSLPSO | A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization 2019 paper | yuhaibo2017/GORS-SSLPSO_code |
| SRK-DDEA | Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels 2019 paper | Mikasa210/SRK-DDEA |
| SSL-assisted-PSO | Semi-supervised learning assisted particle swarm optimization of computationally expensive problems 2018 paper | IIS-tyust/SSL-assisted-PSO |
| SHPSO | Surrogate-assisted hierarchical particle swarm optimization 2018 paper | yuhaibo2017/SHPSO_code |
| CALSAPSO | Committee-based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems 2017 paper | HandingWang/CALSAPSO |
| TLSAPSO | A two-layer surrogate-assisted particle swarm optimization algorithm 2015 paper | IIS-tyust/TLSAPSO |
| Algorithm | Paper | Original Repository |
|---|---|---|
| TS-SAEA | A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization 2022 paper | - |
| REMO | Expensive Multiobjective Optimization by Relation Learning and Prediction 2022 paper | ilog-ecnu/REMO |
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Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction 2022 paper | yyxhdy/tdeadp |
| prob-RVEA [offline] | Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization 2022 | industrial-optimization-group/offline_data_driven_moea |
| IBEA-MS [offline] | Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization 2022 paper | HandingWangXDGroup/IBEA-MS |
| ESF | An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization 2022 paper | Xunfeng-Wu/ESF-EMOO/ |
| MS-MOEA | An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization 2022 paper | HandingWangXDGroup/MS-MOEA |
| EAHVFA | A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming 2022 paper | HandingWangXDGroup/EAHVFA |
| PBF | A Framework for Expensive Many-Objective Optimization with Pareto-based Bi-indicator Infill Sampling Criterion 2021 paper | HandingWangXDGroup/PBF |
| IKAEA | A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning 2021 paper | zhandawei/Incremental_Kriging_Assisted_Evolutionary_Algorithm |
| MDR-SAEA | Multi-Stage Dimension Reduction for Expensive Sparse Multi-Objective Optimization Problems 2021 paper | HandingWangXDGroup/MDR-SAEA |
| KTA2 | A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization 2021 paper | HandingWangXDGroup/KTA2 |
| MS-RV [offline] | Off-line Data-driven Multi-objective Optimization: Knowledge Transfer between Surrogates and Generation of Final Solutions 2020 paper | Peacefulyang/MS-RV |
| CSEA | A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization 2019 paper | Cheng He/CSEA |
| HK-RVEA | Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies 2018 paper | tichugh/HK-RVEA |
| MGPSLPSO | Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems 2018 paper | Jetina/MGPSLPSO |
| RF-CMOCO | A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems 2018 paper | HandingWang/RF-CMOCO |
| NSGA2_GP [offline] | Small data driven evolutionary multi-objective optimization of fused magnesium furnaces 2016 paper | guoxishu/small-data-driven |
| K-RVEA | A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization 2016 paper | tichugh/K-RVEA |
| Algorithm | Paper | Original Repository |
|---|---|---|
| TS-DDEO | Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems 2023 paper | zhenhuixiang/TS-DDEO code.zip |
| SAEA-PRG | A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification 2022 paper | HandingWangXDGroup/SAEAPRG |
| ESCO | An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems 2022 paper | Xunfeng-Wu/ESCO |
| SAMSO | A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems 2021 paper | fanli525/SAMSO |
| CCJADE | Investigating surrogate-assisted cooperative coevolution for large-scale global optimization 2019 paper | lsgo-metaheuristics/saccde |
| SA-COSO | Surrogate-assisted cooperative swarm optimization of high-dimensional expensive problems 2017 paper | IIS-tyust/SA-COSO |
| Algorithm | Paper | Original Repository |
|---|---|---|
| DSE-MFS | A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-driven Dynamic Optimization 2023 paper | Peacefulyang/DSE_MFS |
| DETO | A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments 2022 paper | - |
| MBO-DOP | Model-based optimization with concept drifts 2020 paper | - |
| TL-MOEA/D-EGO | Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems 2020 paper | - |
| 1SGP, 1S_RBF, etc | Surrogate-Assisted Evolutionary Framework for Data-Driven Dynamic Optimization 2019 paper | - |
| EGO | Tracking global optima in dynamic environments with efficient global optimization 2015 paper | - |
| Algorithm | Paper | Original Repository |
|---|---|---|
| FDD-EA-DH | A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm 2022 paper | - |
| FDD-EA | A federated data-driven evolutionary algorithm 2021 paper | - |
| Algorithm | Paper | Original Repository |
|---|---|---|
| DDEA-DLS | Automated Team Assembly in Mobile Games: A Data-Driven Evolutionary Approach using a Deep Learning Surrogate 2022 paper | - |
| RF-CNS | A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization 2021 paper | HandingWangXDGroup/RF-CNS |
| MS-MTO | Multi-surrogate multi-tasking optimization of expensive problems 2020 paper | IIS-tyust/MS-MTO |
The annotation [offline] indicates the offline DDEAs that are purely data-driven without any new funtion evalutions during the optimization.