Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms
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[1] Petr Posík,et al. Online Black-Box Algorithm Portfolios for Continuous Optimization , 2014, PPSN.
[2] Olivier Teytaud,et al. Algorithm Portfolios for Noisy Optimization: Compare Solvers Early , 2014, LION.
[3] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[4] Bernhard Sendhoff,et al. A systems approach to evolutionary multiobjective structural optimization and beyond , 2009, IEEE Computational Intelligence Magazine.
[5] Michael N. Katehakis,et al. The Multi-Armed Bandit Problem: Decomposition and Computation , 1987, Math. Oper. Res..
[6] Tad Hogg,et al. An Economics Approach to Hard Computational Problems , 1997, Science.
[7] Xin Yao,et al. Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[8] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[9] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[10] Olivier Teytaud,et al. Algorithm portfolios for noisy optimization , 2015, Annals of Mathematics and Artificial Intelligence.
[11] Georgios C. Anagnostopoulos,et al. Online model racing based on extreme performance , 2014, GECCO.
[12] Michèle Sebag,et al. Toward comparison-based adaptive operator selection , 2010, GECCO '10.
[13] Ruhul A. Sarker,et al. Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[14] Handing Wang,et al. Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System , 2016, IEEE Transactions on Evolutionary Computation.
[15] Dan Guo,et al. Data-Driven Evolutionary Optimization: An Overview and Case Studies , 2019, IEEE Transactions on Evolutionary Computation.
[16] Yaochu Jin,et al. Surrogate-assisted evolutionary computation: Recent advances and future challenges , 2011, Swarm Evol. Comput..
[17] Nando de Freitas,et al. Portfolio Allocation for Bayesian Optimization , 2010, UAI.
[18] Bruce A. Robinson,et al. Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces , 2009, IEEE Transactions on Evolutionary Computation.
[19] Jialin Liu,et al. Differential Evolution algorithm applied to non-stationary bandit problem , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[20] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[21] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[22] John Doherty,et al. Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems , 2017, IEEE Transactions on Cybernetics.
[23] Yang Lou,et al. Which algorithm should I choose: An evolutionary algorithm portfolio approach , 2016, Appl. Soft Comput..
[24] Petr Baudis,et al. COCOpf: An Algorithm Portfolio Framework , 2014, ArXiv.
[25] Kevin Leyton-Brown,et al. SATzilla: Portfolio-based Algorithm Selection for SAT , 2008, J. Artif. Intell. Res..
[26] Xin Yao,et al. Negatively Correlated Search , 2015, IEEE Journal on Selected Areas in Communications.
[27] Ying Tan,et al. A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization , 2019, Knowl. Based Syst..
[28] Fei Peng,et al. Population-Based Algorithm Portfolios for Numerical Optimization , 2010, IEEE Transactions on Evolutionary Computation.