Multi-objective Parameter Tuning with Dynamic Compositional Surrogate Models

[1]  Ke Tang,et al.  Evolutionary optimization with hierarchical surrogates , 2019, Swarm Evol. Comput..

[2]  Felipe Campelo,et al.  Tuning metaheuristics by sequential optimization of regression models , 2018, Appl. Soft Comput..

[3]  Sebastian Götz,et al.  BRISE: Energy-Efficient Benchmark Reduction , 2018, 2018 IEEE/ACM 6th International Workshop on Green And Sustainable Software (GREENS).

[4]  Jing J. Liang,et al.  A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems , 2018, Swarm Evol. Comput..

[5]  D. Sculley,et al.  Google Vizier: A Service for Black-Box Optimization , 2017, KDD.

[6]  Lamjed Ben Said,et al.  Many-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.

[7]  Lamjed Ben Said,et al.  Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.

[8]  Leslie Pérez Cáceres,et al.  The irace package: Iterated racing for automatic algorithm configuration , 2016 .

[9]  Tea Tusar,et al.  GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models , 2015, Eur. J. Oper. Res..

[10]  Fedor V. Fomin,et al.  Exact exponential algorithms , 2010, CACM.

[11]  Palden Lama,et al.  AROMA: automated resource allocation and configuration of mapreduce environment in the cloud , 2012, ICAC '12.

[12]  Kevin Leyton-Brown,et al.  Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.

[13]  Michèle Sebag,et al.  A mono surrogate for multiobjective optimization , 2010, GECCO '10.

[14]  Tao Yu,et al.  Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression , 2008 .

[15]  Tapabrata Ray,et al.  An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization , 2007, ACAL.

[16]  Maurizio Palesi,et al.  Multi-objective design space exploration using genetic algorithms , 2002, Proceedings of the Tenth International Symposium on Hardware/Software Codesign. CODES 2002 (IEEE Cat. No.02TH8627).

[17]  Lothar Thiele,et al.  Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.

[18]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..