Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient
暂无分享,去创建一个
T. Back | Jianyong Sun | Zongben Xu | Xin Liu
[1] Ponnuthurai N. Suganthan,et al. Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[2] Jun Zhang,et al. Self-adaptive differential evolution based on PSO learning strategy , 2010, GECCO '10.
[3] Vitaliy Feoktistov. Differential Evolution: In Search of Solutions , 2006 .
[4] Alex Fukunaga,et al. Reviewing and Benchmarking Parameter Control Methods in Differential Evolution , 2020, IEEE Transactions on Cybernetics.
[5] Anas A. Hadi,et al. LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[6] Amit Konar,et al. Two improved differential evolution schemes for faster global search , 2005, GECCO '05.
[7] Janez Brest,et al. The 100-Digit Challenge: Algorithm jDE100 , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[8] Saku Kukkonen,et al. Real-parameter optimization with differential evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[9] J. Tvrdík,et al. COMPETITIVE DIFFERENTIAL EVOLUTION , 2006 .
[10] Janez Brest,et al. Constrained Real-Parameter Optimization with ε -Self-Adaptive Differential Evolution , 2009 .
[11] Joni-Kristian Kämäräinen,et al. Differential Evolution Training Algorithm for Feed-Forward Neural Networks , 2003, Neural Processing Letters.
[12] Martijn C. Schut,et al. Reinforcement Learning for Online Control of Evolutionary Algorithms , 2006, ESOA.
[13] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[14] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[15] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[16] Lixin Tang,et al. Differential Evolution With an Individual-Dependent Mechanism , 2015, IEEE Transactions on Evolutionary Computation.
[17] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[18] Josef Tvrdík. Adaptation in differential evolution: A numerical comparison , 2009, Appl. Soft Comput..
[19] M. M. Ali,et al. Differential evolution algorithms using hybrid mutation , 2007, Comput. Optim. Appl..
[20] Jeng-Shyang Pan,et al. PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization , 2019, Knowl. Based Syst..
[21] Ville Tirronen,et al. Recent advances in differential evolution: a survey and experimental analysis , 2010, Artificial Intelligence Review.
[22] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[23] Vlad Dafinescu,et al. Parameter control and hybridization techniques in differential evolution: a survey , 2015, Artificial Intelligence Review.
[24] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[25] Xin Yao,et al. Self-adaptive differential evolution with neighborhood search , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[26] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[27] Ricardo Faia,et al. Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization , 2019, GECCO.
[28] Jeng-Shyang Pan,et al. Parameters with Adaptive Learning Mechanism (PALM) for the enhancement of Differential Evolution , 2018, Knowl. Based Syst..
[29] Ponnuthurai N. Suganthan,et al. Recent advances in differential evolution - An updated survey , 2016, Swarm Evol. Comput..
[30] Li Huang,et al. An Improved Self-adaptive Control Parameter of Differential Evolution for Global Optimization , 2009 .
[31] Jingming Yang,et al. A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems , 2016, Eur. J. Oper. Res..
[32] Alex S. Fukunaga,et al. Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[33] Yuhui Shi,et al. Hybrid Sampling Evolution Strategy for Solving Single Objective Bound Constrained Problems , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[34] Janez Brest,et al. Single objective real-parameter optimization: Algorithm jSO , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[35] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[36] Zbigniew Michalewicz,et al. Parameter Control in Evolutionary Algorithms , 2007, Parameter Setting in Evolutionary Algorithms.
[37] Tetsuyuki Takahama,et al. Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution , 2012, 2012 IEEE Congress on Evolutionary Computation.
[38] Amer Draa,et al. A sinusoidal differential evolution algorithm for numerical optimisation , 2015, Appl. Soft Comput..
[39] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[40] A. Kai Qin,et al. Self-adaptive differential evolution algorithm for numerical optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[41] Mark Hoogendoorn,et al. Parameter Control in Evolutionary Algorithms: Trends and Challenges , 2015, IEEE Transactions on Evolutionary Computation.
[42] M. Montaz Ali,et al. Population set-based global optimization algorithms: some modifications and numerical studies , 2004, Comput. Oper. Res..
[43] Ville Tirronen,et al. Differential Evolution with Fitness Diversity Self-adaptation , 2009, Nature-Inspired Algorithms for Optimisation.
[44] Gao-yang Li,et al. The summary of differential evolution algorithm and its improvements , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
[45] Jianhua Wu,et al. A modified differential evolution algorithm for unconstrained optimization problems , 2013, Neurocomputing.
[46] Long Li,et al. Differential evolution based on covariance matrix learning and bimodal distribution parameter setting , 2014, Appl. Soft Comput..
[47] Petros Koumoutsakos,et al. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.
[48] Mark Hoogendoorn,et al. Generic parameter control with reinforcement learning , 2014, GECCO.
[49] Manuel López-Ibáñez,et al. Deep reinforcement learning based parameter control in differential evolution , 2019, GECCO.
[50] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[51] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[52] Janez Brest,et al. iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[53] Kenneth V. Price,et al. Eliminating Drift Bias from the Differential Evolution Algorithm , 2008 .
[54] Arina Buzdalova,et al. Selecting evolutionary operators using reinforcement learning: initial explorations , 2014, GECCO.
[55] Tome Eftimov,et al. CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018 , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[56] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[57] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[58] Yoshitaka Sakurai,et al. A Method to Control Parameters of Evolutionary Algorithms by Using Reinforcement Learning , 2010, 2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems.