Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
出版年份 2020 全文链接
标题
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
作者
关键词
Computationally expensive problem, Multi-objective evolutionary algorithm, Infill criterion, Surrogate model
出版物
Swarm and Evolutionary Computation
Volume 60, Issue -, Pages 100774
出版商
Elsevier BV
发表日期
2020-09-16
DOI
10.1016/j.swevo.2020.100774
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems
- (2020) Fan Li et al. APPLIED SOFT COMPUTING
- Evolutionary optimization with hierarchical surrogates
- (2019) Xiaofen Lu et al. Swarm and Evolutionary Computation
- Speed up differential evolution for computationally expensive protein structure prediction problems
- (2019) Hojjat Rakhshani et al. Swarm and Evolutionary Computation
- Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model
- (2019) Zefeng Chen et al. APPLIED SOFT COMPUTING
- Surrogate-guided differential evolution algorithm for high dimensional expensive problems
- (2019) Xiwen Cai et al. Swarm and Evolutionary Computation
- A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization
- (2019) Ahsanul Habib et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A survey on kriging-based infill algorithms for multiobjective simulation optimization
- (2019) Sebastian Rojas-Gonzalez et al. COMPUTERS & OPERATIONS RESEARCH
- A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
- (2018) Tinkle Chugh et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Classification Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization
- (2018) Linqiang Pan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Efficient Global Optimization of Actuator Based on a Surrogate Model Assisted Hybrid Algorithm
- (2018) Bo Liu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
- (2018) Dan Guo et al. IEEE Transactions on Cybernetics
- Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates
- (2018) Jianping Luo et al. IEEE Transactions on Cybernetics
- 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
- Ensemble of surrogates assisted particle swarm optimization of medium scale expensive problems
- (2018) Fan Li et al. APPLIED SOFT COMPUTING
- Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient
- (2018) Kaifeng Yang et al. Swarm and Evolutionary Computation
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization
- (2017) Dawei Zhan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
- (2017) Tinkle Chugh et al. SOFT COMPUTING
- Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
- (2017) Handing Wang et al. IEEE Transactions on Cybernetics
- Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models
- (2016) Joshua Svenson et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- An efficient multi-objective PSO algorithm assisted by Kriging metamodel for expensive black-box problems
- (2016) Haoxiang Jie et al. JOURNAL OF GLOBAL OPTIMIZATION
- Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition
- (2016) Lucas M. Pavelski et al. NEUROCOMPUTING
- A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms
- (2016) Alan Díaz-Manríquez et al. Computational Intelligence and Neuroscience
- A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
- (2015) Mohammad Tabatabaei et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A multi-objective variable-fidelity optimization method for genetic algorithms
- (2013) Jiandao Zhu et al. ENGINEERING OPTIMIZATION
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON 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
- Evolutionary algorithm assisted by surrogate model in the framework of ordinal optimization and optimal computing budget allocation
- (2013) Shih-Cheng Horng et al. INFORMATION SCIENCES
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
- (2013) Ivo Couckuyt et al. JOURNAL OF GLOBAL OPTIMIZATION
- Particle swarm with radial basis function surrogates for expensive black-box optimization
- (2013) Rommel G. Regis Journal of Computational Science
- Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization
- (2012) Rommel G. Regis et al. ENGINEERING OPTIMIZATION
- Applicability of surrogates to improve efficiency of particle swarm optimization for simulation-based problems
- (2011) M. D. Parno et al. ENGINEERING OPTIMIZATION
- Surrogate-assisted evolutionary computation: Recent advances and future challenges
- (2011) Yaochu Jin Swarm and Evolutionary Computation
- Multiobjective evolutionary algorithms: A survey of the state of the art
- (2011) Aimin Zhou et al. Swarm and Evolutionary Computation
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Generalizing Surrogate-Assisted Evolutionary Computation
- (2009) Dudy Lim et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
- (2009) Qingfu Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization
- (2009) M. Li et al. JOURNAL OF MECHANICAL DESIGN
- Recent advances in surrogate-based optimization
- (2009) Alexander I.J. Forrester et al. PROGRESS IN AEROSPACE SCIENCES
- A novel multi-objective optimization method based on an approximation model management technique
- (2008) G.P. Liu et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling
- (2008) G. Li et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Comparing error estimation measures for polynomial and kriging approximation of noise-free functions
- (2008) Tushar Goel et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
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