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

https://doi.org/10.1109/tevc.2019.2919762
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Metamodeling for high dimensional design problems by multi-fidelity simulations
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Employing partial metamodels for optimization with scarce samples
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Metamodeling using extended radial basis functions: a comparative approach
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Memetic algorithm using multi-surrogates for computationally expensive optimization problems
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Comparison of metamodeling techniques in evolutionary algorithms
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Sequential Approximate Optimization using Radial Basis Function network for engineering optimization
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Differential evolution algorithm with ensemble of parameters and mutation strategies
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Adaptive MLS-HDMR metamodeling techniques for high dimensional problems
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Diversity enhanced particle swarm optimization with neighborhood search
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Surrogate-assisted hierarchical particle swarm optimization
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Particle swarm with radial basis function surrogates for expensive black-box optimization
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Advanced high strength steel springback optimization by projection-based heuristic global search algorithm
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Recent advances in differential evolution – An updated survey
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Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
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Efficient Global Optimization of Expensive Black-Box Functions
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A Radial Basis Function Method for Global Optimization
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A tutorial on support vector regression
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Applicability of surrogates to improve efficiency of particle swarm optimization for simulation-based problems
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A surrogate-based particle swarm optimization algorithm for solving optimization problems with expensive black box functions
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Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method
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CONORBIT: constrained optimization by radial basis function interpolation in trust regions
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The particle swarm - explosion, stability, and convergence in a multidimensional complex space
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Guided crossover: a new operator for genetic algorithm based optimization
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A Study on Polynomial Regression and Gaussian Process Global Surrogate Model in Hierarchical Surrogate-Assisted Evolutionary Algorithm
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inferredcites →https://doi.org/10.1109/cec.2014.6900373openalex-snapshot
Behavioral study of the surrogate model-aware evolutionary search framework
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A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1109/tcyb.2017.2710978openalex-snapshot
Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
inferredcites →https://doi.org/10.1109/tcyb.2018.2794503openalex-snapshot
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
inferredcites →https://doi.org/10.1109/tcyb.2018.2809430openalex-snapshot
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints
inferredcites →https://doi.org/10.1109/tevc.2004.826895openalex-snapshot
Hybrid Taguchi-Genetic Algorithm for Global Numerical Optimization
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inferredcites →https://doi.org/10.1109/tevc.2008.927706openalex-snapshot
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
inferredcites →https://doi.org/10.1109/tevc.2009.2027359openalex-snapshot
Generalizing Surrogate-Assisted Evolutionary Computation
inferredcites →https://doi.org/10.1109/tevc.2009.2033671openalex-snapshot
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
inferredcites →https://doi.org/10.1109/tevc.2013.2248012openalex-snapshot
A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems
inferredcites →https://doi.org/10.1109/tevc.2013.2262111openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2015.2449293openalex-snapshot
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization
inferredcites →https://doi.org/10.1109/tevc.2017.2675628openalex-snapshot
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
inferredcites →https://doi.org/10.1109/tie.2017.2782203openalex-snapshot
Efficient Global Optimization of Actuator Based on a Surrogate Model Assisted Hybrid Algorithm
inferredcites →https://doi.org/10.1109/tmtt.2017.2661739openalex-snapshot
Global Optimization of Microwave Filters Based on a Surrogate Model-Assisted Evolutionary Algorithm
inferredcites →https://doi.org/10.1109/tsmcc.2005.855506openalex-snapshot
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inferredcites →https://doi.org/10.1115/1.1561044openalex-snapshot
Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points
inferredcites →https://doi.org/10.1115/1.4001597openalex-snapshot
Metamodeling for High Dimensional Simulation-Based Design Problems
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Turning Black-Box Functions Into White Functions
inferredcites →https://doi.org/10.1115/1.4029219openalex-snapshot
Trust Region Based Mode Pursuing Sampling Method for Global Optimization of High Dimensional Design Problems
inferredcites →https://doi.org/10.1115/1.4031982openalex-snapshot
Optimization on Metamodeling-Supported Iterative Decomposition
inferredcites →https://doi.org/10.1115/detc2009-86531openalex-snapshot
Development of Adaptive RBF-HDMR Model for Approximating High Dimensional Problems
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Introduction to Derivative-Free Optimization
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Global Convergence of Radial Basis Function Trust-Region Algorithms for Derivative-Free Optimization
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Evolution by Adapting Surrogates
inferredcites →https://doi.org/10.2307/1269548openalex-snapshot
Screening, Predicting, and Computer Experiments
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Methods for Unconstrained Optimization Problems
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Kriging Hyperparameter Tuning Strategies
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Gradient-Free Trust-Region-Based Adaptive Response Surface Method for Expensive Aircraft Optimization
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Adaptive Radial-Basis-Function-Based Multifidelity Metamodeling for Expensive Black-Box Problems
inferredcites →https://doi.org/10.2514/2.1538openalex-snapshot
Computationally Inexpensive Metamodel Assessment Strategies
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Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
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Sequential Approximate Optimization Procedure based on Sample-reusable Moving Least Squares Meta-model and its Application to Design Optimizations
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An Introduction to Genetic Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Surrogate‐assisted optimal re‐dispatch control for risk‐aware regulation of dynamic total transfer capability
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Data‐Driven Surrogate‐Assisted Acceleration Approach for Long‐Term Stochastic Chronological Operation Simulation
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KT-EGO: a knowledge transfer assisted efficient global optimization algorithm for solving high-dimensional expensive black-box problems
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Interactive multiobjective optimization of an extremely computationally expensive pump design problem
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A Trust Index-Based Adaptive Kriging Method for the Cooling Fan Optimization
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Parallel Lightweight Surrogate Enhanced Particle Swarm Optimization for Fast Decision-Making
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Efficient Design Optimization of High-Performance MEMS Based on a Surrogate-Assisted Self-Adaptive Differential Evolution
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Behavioral Study of Bayesian Neural Networks Under a Typical Surrogate Model-Assisted Evolutionary Search Framework
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A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation
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Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection
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A Surrogate-Assisted Clustering Particle Swarm Optimizer for Expensive Optimization Under Dynamic Environment
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An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation
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VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System
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A Surrogate-Assisted Clustering-Based Evolutionary Algorithm for Expensive Optimization
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Surrogate model-driven differential evolution with multi-strategy techniques
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Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks
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Surrogate-assisted Automatic Niching PSO for Expensive Multimodal Optimization Problems
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Surrogate-Assisted Evolutionary Optimization of the Emergency Load Shedding with Parallel Computation
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Thin-Plate Spline RBF surrogate model for global optimization algorithms
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Inertial Parameters Identification for Floating-Base Multibody Systems Using Spinning Trajectories
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A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems
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Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey
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Structural Optimization of Turntable Frame Based on Improved Latin Hypercube Design and Hybrid Surrogate Model
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An Autoencoder-embedded Evolutionary Optimization Framework for High-dimensional Problems
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Surrogate-Assisted Ensemble Social Learning Particle Swarm Optimization
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Comparative Study on Different Types of Surrogate-Assisted Evolutionary Algorithms for High-Dimensional Expensive Problems
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Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems
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An Efficient Optimization Method for Antenna Arrays Using a Small Population Diploid Genetic Algorithm Based on Local RBF Networks
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Efficient Incremental Variable-Fidelity Machine-Learning-Assisted Hybrid Optimization and Its Application to Multiobjective Antenna Design
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Machine-Learning-Assisted Swarm Intelligence Algorithm for Antenna Optimization With Mixed Continuous and Binary Variables
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Multi-Objective Parameter Optimization of Fiber Laser Welding Considering Energy Consumption and Bead Geometry
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A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems
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Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems
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Multisurrogate-Assisted Multitasking Particle Swarm Optimization for Expensive Multimodal Problems
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Generative Multiform Bayesian Optimization
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A Surrogate-Assisted Differential Evolution Algorithm for High-Dimensional Expensive Optimization Problems
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A Hierarchical Surrogate-Assisted Differential Evolution With Core Space Localization
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Multilayer Perceptron Grouping and Sparse Gaussian Process-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multiobjective Optimization
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A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems
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A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization
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Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization
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A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning
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Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems
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Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses
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Expensive Multiobjective Optimization by Relation Learning and Prediction
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Evolutionary Sampling Agent for Expensive Problems
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Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling
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Surrogate and Autoencoder-Assisted Multitask Particle Swarm Optimization for High-Dimensional Expensive Multimodal Problems
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Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration
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A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems
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Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization
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A Classifier-Ensemble-Based Surrogate-Assisted Evolutionary Algorithm for Distributed Data-Driven Optimization
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A Genetic Algorithm Based on Deep Q-Learning in Optimization of Remote Sensing Data Discretization
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Enhancing Genetic Algorithm With Explainable Artificial Intelligence for Last-Mile Routing
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Enhanced Evolution of Parallel Algorithm Portfolio for Vehicle Routing Problem via Transfer Optimization
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Evolutionary Human-UAV Cooperation for Transmission Network Restoration
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Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks
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Analytic Deep Learning-Based Surrogate Model for Operational Planning With Dynamic TTC Constraints
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Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization
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Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization
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Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables
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PSAF
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Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization
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Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms
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Adaptive Weighted Strategy Based Integrated Surrogate Models for Multiobjective Evolutionary Algorithm
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Cross-Representation Genetic Programming: A Case Study on Tree-Based and Linear Representations
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Ecodesigning and improving performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimisation of powertrain
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A response band-based method for time-dependent reliability-based robust design optimization
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Global and Local Surrogate-Model-Assisted Differential Evolution for Waterflooding Production Optimization
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Adaptive Basis Function Selection Enhanced Multisurrogate-Assisted Evolutionary Algorithm for Production Optimization
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Multitask Optimization Via Feature Clustering of Particle Swarm for Bi-Level Optimization
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Surrogate-Assisted Particle Swarm Optimizer with Adaptive Multi-Subspace Search and Surrogate-Assisted Crossover for Large-Scale Expensive Optimization
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From Representative Storms to Scenario-Embedded Design: Surrogate-Based Stochastic Optimization for Climate-Robust Green-Gray Stormwater Infrastructure
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Novel Consensus-Based Particle Swarm Optimization-Guided Surrogate-Enhanced Methodology for Solving Expensive Black-Box Optimization
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Data-driven evolutionary sampling optimization forexpensive problems
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High-dimensional multidisciplinary design optimization for aircraft eco-design
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Evolutionary algorithm with an autoencoder-based dimensionality reduction mechanism
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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems
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Single-Objective Surrogate Models for Continuous Metaheuristics: An Overview
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Accurate Design of Microwave Filter Based on Surrogate Model-Assisted Evolutionary Algorithm
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Efficient Emergency Load Shedding to Mitigate Fault-Induced Delayed Voltage Recovery Using Cloud–Edge Collaborative Learning and Guided Evolutionary Strategy
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Learning-Aided Optimal Power Flow Based Fast Total Transfer Capability Calculation
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Hierarchical Surrogate-Assisted Evolutionary Algorithm for Integrated Multi-Objective Optimization of Well Placement and Hydraulic Fracture Parameters in Unconventional Shale Gas Reservoir
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Optimal Agent Search Using Surrogate-Assisted Genetic Algorithms
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Optimization of MOSFET Copper Clip to Enhance Thermal Management Using Kriging Surrogate Model and Genetic Algorithm
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Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints
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A Historical Experience Surrogate Model Assisted Particle Swarm Optimization for Expensive Black-box Problems
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High dimensional multidisciplinary design optimization for eco-design aircraft
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