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https://github.com/h-hg/ddea


https://github.com/h-hg/ddea

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README 

        
This is a repository that collects various data-driven evolutionary algorithms (DDEA).



|Model|Paper|Original Repository|

|:-:|:-:|:-:|

|BiS-SAHA|A bi-stage surrogate assisted hybrid algorithm for expensive optimization problems|[IIS-tyust/BiS-SAHA](https://github.com/IIS-tyust/BiS-SAHA)|

|CALSAPSO|Committee-based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems|[HandingWang/CALSAPSO](https://github.com/HandingWang/CALSAPSO)|

|CA-LLSO|A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization|[CarrieWei/CA-LLSO_Code](https://github.com/CarrieWei/CA-LLSO_Code)|

|CCJADE|Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization|[lsgo-metaheuristics/saccde](https://github.com/lsgo-metaheuristics/saccde)|

|CSEA|A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization|[Cheng He/CSEA](https://www.researchgate.net/publication/324721301_The_source_code_of_CSEA)|

|DDEA-SE|Offline data-driven evolutionary optimization using selective surrogate ensembles|[HandingWang/DDEA-SE](https://github.com/HandingWang/DDEA-SE)|

|DESO|Data-driven evolutionary sampling optimization for expensive problems|[zhenhuixiang/DESO code.zip](https://zhenhuixiang.github.io/code/DESO%20code.zip)|

|ESA|Evolutionary Sampling Agent for Expensive Problems|[zhenhuixiang/EAS code.zip](https://zhenhuixiang.github.io/code/ESA%20code.zip)|

|ESCO|An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems|[Xunfeng-Wu/ESCO](https://github.com/Xunfeng-Wu/ESCO)|

|ESF-EMOO|A Ensemble Surrogate-based Framework for Expensive Multiobjective Optimization Problems|[Xunfeng-Wu/ESF-EMOO/](https://github.com/Xunfeng-Wu/ESF-EMOO/)|

|GORS-SSLPSO|A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization|[yuhaibo2017/GORS-SSLPSO_code](https://github.com/yuhaibo2017/GORS-SSLPSO_code)|

|HK-RVEA|Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies|[tichugh/HK-RVEA](https://github.com/tichugh/HK-RVEA)|

|IBEA-MS|Performance Indicator based Adaptive Model Selection for Offline Data-Driven Multi-Objective Evolutionary Optimization|[HandingWangXDGroup/IBEA-MS](https://github.com/HandingWangXDGroup/IBEA-MS)|

|IKAEA|A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning|[zhandawei/Incremental_Kriging_Assisted_Evolutionary_Algorithm](https://github.com/zhandawei/Incremental_Kriging_Assisted_Evolutionary_Algorithm)|

|K-RVEA|A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization|[tichugh/K-RVEA](https://github.com/tichugh/K-RVEA)|

|MDR-SARA|Multi-Stage Dimension Reduction for Expensive Sparse Multi-Objective Optimization Problems|[HandingWangXDGroup/MDR-SAEA](https://github.com/HandingWangXDGroup/MDR-SAEA)|

|MGPSLPSO|Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems|[Jetina/MGPSLPSO](https://github.com/Jetina/MGPSLPSO)|

|MS-DDEO|Offline data-driven evolutionary optimization based on model selection|[zhenhuixiang/MS-DDEO code.zip](https://zhenhuixiang.github.io/code/MS-DDEO%20code.zip)|

|MS-MOEA|An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization|[HandingWangXDGroup/MS-MOEA](https://github.com/HandingWangXDGroup/MS-MOEA)|

|MS-MTO|Multi-surrogate multi-tasking optimization of expensive problems|[IIS-tyust/MS-MTO](https://github.com/IIS-tyust/MS-MTO)|

|PBF|A Framework for Expensive Many-Objective Optimization with Pareto-based Bi-indicator Infill Sampling Criterion|[HandingWangXDGroup/PBF](https://github.com/HandingWangXDGroup/PBF)|

|RF-CMOCO|A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems|[HandingWang/RF-CMOCO](https://github.com/HandingWang/RF-CMOCO)|

|SAEAPRG|A Surrogate-Assisted Evolutionary Feature Selection Algorithm for High-Dimensional Classification|[HandingWangXDGroup/SAEAPRG](https://github.com/HandingWangXDGroup/SAEAPRG)|

|RF-CNS|A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization|[HandingWangXDGroup/RF-CNS](https://github.com/HandingWangXDGroup/RF-CNS)|

|SA-COSO|Surrogate-assisted cooperative swarm optimization of high-dimensional expensive problems.|[IIS-tyust/SA-COSO](https://github.com/IIS-tyust/SA-COSO)|

|SAEA-RFS|A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems|[IIS-tyust/SAEA-RFS](https://github.com/IIS-tyust/SAEA-RFS)|

|SAMSO|A Surrogate-Assisted Multi-Swarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems|[fanli525/SAMSO](https://github.com/fanli525/SAMSO)|

|SDH-Jaya|A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism|[zzzhhh-320/SDHJAYA](https://github.com/zzzhhh-320/SDHJAYA)|

|SHPSO|Surrogate-assisted hierarchical particle swarm optimization|[yuhaibo2017/SHPSO_code](https://github.com/yuhaibo2017/SHPSO_code)|

|SRK-DDEA|Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels|[Mikasa210/SRK-DDEA](https://github.com/Mikasa210/SRK-DDEA)|

|SSL-assisted-PSO|Semi-supervised learning assisted particle swarm optimization of computationally expensive problems|[IIS-tyust/SSL-assisted-PSO](https://github.com/IIS-tyust/SSL-assisted-PSO)|

|TLSAPSO|A two-layer surrogate-assisted particle swarm optimization algorithm|[IIS-tyust/TLSAPSO](https://github.com/IIS-tyust/TLSAPSO)|

|TL-SSLPSO|Implementation of Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem|[yuhaibo2017/TL-SSLPSO](https://github.com/yuhaibo2017/TL-SSLPSO)|

|TSA-BFEA|Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm|[HandingWang/TSA-BFEA](https://github.com/HandingWang/TSA-BFEA)|

|TS-DDEO|Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems|[zhenhuixiang/TS-DDEO code.zip](https://zhenhuixiang.github.io/code/TS-DDEO%20code.zip)|

|TT-DDEA|Offine Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation|[Mikasa210/TT-DDEA](https://github.com/Mikasa210/TT-DDEA)|

|KTA2|A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization|[HandingWangXDGroup/KTA2](https://github.com/HandingWangXDGroup/KTA2)|

|EAHVFA|A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming|[HandingWangXDGroup/EAHVFA](https://github.com/HandingWangXDGroup/EAHVFA)|