相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization
Zhenkun Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2023)
Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data
Raquel Espinosa et al.
INFORMATION SCIENCES (2023)
Expensive Multiobjective Optimization by Relation Learning and Prediction
Hao Hao et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction
Yuan Yuan et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization
Qiqi Liu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique
Mengtian Wu et al.
SWARM AND EVOLUTIONARY COMPUTATION (2022)
Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty
Amir M. Fathollahi-Fard et al.
ADVANCED ENGINEERING INFORMATICS (2021)
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization
Zhenshou Song et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)
Multi-objective energy management for Atkinson cycle engine and series hybrid electric vehicle based on evolutionary NSGA-II algorithm using digital twins
Yangyang Li et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
Fan Li et al.
SWARM AND EVOLUTIONARY COMPUTATION (2021)
An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations
Junayed Pasha et al.
ADVANCED ENGINEERING INFORMATICS (2021)
Preference-driven Kriging-based multiobjective optimization method with a novel multipoint infill criterion and application to airfoil shape design
Youwei He et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2020)
Multi-objective optimization of crashworthiness of vehicle front longitudinal beam
Hangyan Wang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
Optimization of expensive black-box problems via Gradient-enhanced Kriging
Liming Chen et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization
Xilu Wang et al.
INFORMATION SCIENCES (2020)
Multi-Objective Evolutionary Federated Learning
Hangyu Zhu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
A repository of real-world datasets for data-driven evolutionary multiobjective optimization
Cheng He et al.
COMPLEX & INTELLIGENT SYSTEMS (2020)
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
Tinkle Chugh et al.
SOFT COMPUTING (2019)
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
Dan Guo et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Surrogate-guided differential evolution algorithm for high dimensional expensive problems
Xiwen Cai et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey
Miqing Li et al.
ACM COMPUTING SURVEYS (2019)
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Tinkle Chugh et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Ye Tian et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2017)
Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization
Dawei Zhan et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)
SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems
Juliane Muller
INFORMS JOURNAL ON COMPUTING (2017)
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
Taimoor Akhtar et al.
JOURNAL OF GLOBAL OPTIMIZATION (2016)
A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems
Pramudita Satria Palar et al.
APPLIED SOFT COMPUTING (2016)
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
Ran Cheng et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
Recent advances in differential evolution - An updated survey
Swagatam Das et al.
SWARM AND EVOLUTIONARY COMPUTATION (2016)
GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models
Miha Mlakar et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
Mohammad Tabatabaei et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2015)
Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling
K. Z. Gao et al.
INFORMATION SCIENCES (2014)
Particle swarm with radial basis function surrogates for expensive black-box optimization
Rommel G. Regis
JOURNAL OF COMPUTATIONAL SCIENCE (2014)
Generalizing Surrogate-Assisted Evolutionary Computation
Dudy Lim et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2010)
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2010)
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
Hui Li et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
Recent advances in surrogate-based optimization
Alexander I.J. Forrester et al.
PROGRESS IN AEROSPACE SCIENCES (2009)
A novel multi-objective optimization method based on an approximation model management technique
G. P. Liu et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2008)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
Single-objective and multiobjective evolutionary optimization assisted by Gaussian random field metamodels
Michael T. M. Emmerich et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)
Statistical improvement criteria for use in multiobjective design optimization
AJ Keane
AIAA JOURNAL (2006)
ParEGO: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
J Knowles
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Eckart Zitzler et al.
EVOLUTIONARY COMPUTATION (2000)