Dynamic multi-objective evolutionary optimization algorithm based on two-stage prediction strategy.

[1]  Lixin Wei,et al.  MOEA3H: Multi-objective evolutionary algorithm based on hierarchical decision, heuristic learning and historical environment. , 2022, ISA transactions.

[2]  Lixin Wei,et al.  Solve large-scale many-objective optimization problems based on dual analysis of objective space and decision space , 2022, Swarm Evol. Comput..

[3]  Shengxiang Yang,et al.  A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution , 2021, Swarm Evol. Comput..

[4]  Shengxiang Yang,et al.  A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization , 2021, Swarm Evol. Comput..

[5]  M. Middendorf,et al.  Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process , 2021, IEEE Transactions on Cybernetics.

[6]  Min Chen,et al.  Dynamic multi-objective evolutionary algorithm with center point prediction strategy using ensemble Kalman filter , 2021, Soft Computing.

[7]  G. Yen,et al.  An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization , 2021, IEEE Transactions on Evolutionary Computation.

[8]  Lixin Tang,et al.  A reinforcement learning approach for dynamic multi-objective optimization , 2021, Inf. Sci..

[9]  Yaru Hu,et al.  A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization , 2021, Swarm Evol. Comput..

[10]  Yixuan Li,et al.  An ensemble learning based prediction strategy for dynamic multi-objective optimization , 2020, Appl. Soft Comput..

[11]  Hang Su,et al.  Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction , 2020, Neurocomputing.

[12]  Min Jiang,et al.  Individual-Based Transfer Learning for Dynamic Multiobjective Optimization , 2020, IEEE Transactions on Cybernetics.

[13]  Min Jiang,et al.  A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization , 2020, Swarm Evol. Comput..

[14]  Yan Wu,et al.  A new dynamic strategy for dynamic multi-objective optimization , 2020, Inf. Sci..

[15]  Hao Sun,et al.  A prediction strategy based on special points and multiregion knee points for evolutionary dynamic multiobjective optimization , 2020, Applied Intelligence.

[16]  Min Jiang,et al.  Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization , 2020, IEEE Transactions on Evolutionary Computation.

[17]  Jianchang Liu,et al.  An affinity propagation clustering based particle swarm optimizer for dynamic optimization , 2020, Knowl. Based Syst..

[18]  Shengxiang Yang,et al.  Novel Prediction Strategies for Dynamic Multiobjective Optimization , 2020, IEEE Transactions on Evolutionary Computation.

[19]  Erik D. Goodman,et al.  Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor , 2020, IEEE Transactions on Evolutionary Computation.

[20]  Ling Wang,et al.  A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization , 2020, IEEE Transactions on Evolutionary Computation.

[21]  Zheng Fan,et al.  Self-adaptive weight vector adjustment strategy for decomposition-based multi-objective differential evolution algorithm , 2020, Soft Comput..

[22]  Shengxiang Yang,et al.  A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems , 2020, IEEE Transactions on Evolutionary Computation.

[23]  Hao Sun,et al.  An enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment , 2019, Neural Computing and Applications.

[24]  Hao Sun,et al.  Optimization of Metal Rolling Control Using Soft Computing Approaches: A Review , 2019, Archives of Computational Methods in Engineering.

[25]  Witold Pedrycz,et al.  Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems , 2019, IEEE Transactions on Cybernetics.

[26]  Mike G. Tsionas,et al.  Multi-objective optimization using statistical models , 2019, Eur. J. Oper. Res..

[27]  Shengxiang Yang,et al.  A predictive strategy based on special points for evolutionary dynamic multi-objective optimization , 2019, Soft Comput..

[28]  Tianyou Chai,et al.  Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing , 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

[29]  Licheng Jiao,et al.  A dynamic multiple populations particle swarm optimization algorithm based on decomposition and prediction , 2018, Appl. Soft Comput..

[30]  Dunwei Gong,et al.  Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization , 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[31]  Shengxiang Yang,et al.  An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance , 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

[32]  Min Jiang,et al.  Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation , 2018, Inf. Sci..

[33]  Shengxiang Yang,et al.  A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization , 2017, Appl. Soft Comput..

[34]  Licheng Jiao,et al.  A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization , 2017, Eur. J. Oper. Res..

[35]  Shengxiang Yang,et al.  The effect of diversity maintenance on prediction in dynamic multi-objective optimization , 2017, Appl. Soft Comput..

[36]  Feng Liu,et al.  A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling , 2017, Comput. Oper. Res..

[37]  Shengxiang Yang,et al.  A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization , 2017, IEEE Transactions on Evolutionary Computation.

[38]  Zhiwei Zhao,et al.  An improved multi-objective evolutionary algorithm based on environmental and history information , 2017, Neurocomputing.

[39]  Kay Chen Tan,et al.  Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction , 2016, IEEE Transactions on Cybernetics.

[40]  Ye Tian,et al.  A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization , 2015, IEEE Transactions on Evolutionary Computation.

[41]  Licheng Jiao,et al.  An orthogonal predictive model-based dynamic multi-objective optimization algorithm , 2015, Soft Comput..

[42]  Min Liu,et al.  Novel prediction and memory strategies for dynamic multiobjective optimization , 2014, Soft Computing.

[43]  Licheng Jiao,et al.  A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model , 2014, Soft Comput..

[44]  Jinhua Zheng,et al.  A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

[45]  Changhe Li,et al.  A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.

[46]  Kalyanmoy Deb,et al.  Dynamic multiobjective optimization problems: test cases, approximations, and applications , 2004, IEEE Transactions on Evolutionary Computation.

[47]  C. Yue,et al.  A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization , 2023, IEEE Transactions on Evolutionary Computation.

[48]  Min Jiang,et al.  A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization , 2023, IEEE Transactions on Evolutionary Computation.

[49]  Rui Fan,et al.  Covariance matrix adaptive strategy for a multi-objective evolutionary algorithm based on reference point , 2020, J. Intell. Fuzzy Syst..

[50]  Xin Li,et al.  A novel multi-objective PSO algorithm based on completion-checking , 2018, J. Intell. Fuzzy Syst..

[51]  Shengxiang Yang,et al.  Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons , 2017, IEEE Transactions on Cybernetics.

[52]  Kay Chen Tan,et al.  Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach , 2017, IEEE Transactions on Cybernetics.

[53]  Qingfu Zhang,et al.  A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization , 2014, IEEE Transactions on Cybernetics.

[54]  Qingfu Zhang,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 RM-MEDA: A Regularity Model-Based Multiobjective Estimation of , 2022 .