Evolutionary Sampling Agent for Expensive Problems

Magnetic control of tokamak plasmas through deep reinforcement learning

(2022) Jonas Degrave et al.   NATURE

Comparison of parallel infill sampling criteria based on Kriging surrogate model

(2022) Cong Chen et al.   Scientific Reports

Experimental quantum speed-up in reinforcement learning agents

(2021) V. Saggio et al.   NATURE

Data-driven evolutionary sampling optimization forexpensive problems

(2021) Zhen Huixiang et al.   Journal of Systems Engineering and Electronics

Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems

(2021) Amir Seyyedabbasi et al.   KNOWLEDGE-BASED SYSTEMS

A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization

(2021) Zhenshou Song et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models

(2021) Zhenzhen Hu et al.   Energy Reports

Q-Learning: Theory and Applications

(2020) Jesse Clifton et al.   Annual Review of Statistics and Its Application

Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation

(2020) Jian-Yu Li et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems

(2020) Huachao Dong et al.   Swarm and Evolutionary Computation

Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization

(2020) Guodong Chen et al.   INFORMATION SCIENCES

An Efficient Surrogate-Assisted Hybrid Optimization Algorithm for Expensive Optimization Problems

(2020) Jeng-Shyang Pan et al.   INFORMATION SCIENCES

A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems

(2020) Fan Li et al.   IEEE Transactions on Cybernetics

A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization

(2020) Feng-Feng Wei et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A Neighborhood Regression Optimization Algorithm for Computationally Expensive Optimization Problems

(2020) Yuren Zhou et al.   IEEE Transactions on Cybernetics

Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization

(2020) Jianping Luo et al.   IEEE Transactions on Cybernetics

An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems

(2019) Xiwen Cai et al.   KNOWLEDGE-BASED SYSTEMS

Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems

(2019) Zhihui Li et al.   Swarm and Evolutionary Computation

A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems

(2019) Xinjing Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Efficient Generalized Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Expensive Problems

(2019) Xiwen Cai et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles

(2018) Handing Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Surrogate-assisted hierarchical particle swarm optimization

(2018) Haibo Yu et al.   INFORMATION SCIENCES

Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms

(2018) Madalina M. Drugan   Swarm and Evolutionary Computation

Data-Driven Evolutionary Optimization: An Overview and Case Studies

(2018) Yaochu Jin et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Multi-objective Infill Criterion Driven Gaussian Process Assisted Particle Swarm Optimization of High-dimensional Expensive Problems

(2018) Jie Tian et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization

(2018) Ruwang Jiao et al.   INFORMATION SCIENCES

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems

(2017) Handing Wang et al.   IEEE Transactions on Cybernetics

A new Reinforcement Learning-based Memetic Particle Swarm Optimizer

(2016) Hussein Samma et al.   APPLIED SOFT COMPUTING

Recent advances in differential evolution – An updated survey

(2016) Swagatam Das et al.   Swarm and Evolutionary Computation

A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems

(2013) Bo Liu et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Differential Evolution: A Survey of the State-of-the-Art

(2010) Swagatam Das et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

JADE: Adaptive Differential Evolution With Optional External Archive

(2009) Jingqiao Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Recent advances in surrogate-based optimization

(2009) Alexander I.J. Forrester et al.   PROGRESS IN AEROSPACE SCIENCES

Kriging metamodeling in simulation: A review

(2007) Jack P.C. Kleijnen   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH