Studying the Effect of Robustness Measures in Offline Parameter Tuning for Estimating the Performance of MOEA/D
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Carlos A. Coello Coello | Denis Pallez | Miriam Pescador-Rojas | Carlos Ignacio Hernandez Castellanos
[1] Hiroyuki Sato,et al. Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs , 2015, J. Heuristics.
[2] Andrzej P. Wierzbicki,et al. The Use of Reference Objectives in Multiobjective Optimization , 1979 .
[3] A. E. Eiben,et al. Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist , 2010, EvoApplications.
[4] Guido Carpinelli,et al. Exponential weighted method and a compromise programming method for multi-objective operation of plug-in vehicle aggregators in microgrids , 2014 .
[5] Bernhard Sendhoff,et al. Robust Optimization - A Comprehensive Survey , 2007 .
[6] Hiroyuki Sato,et al. Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization , 2014, GECCO.
[7] Adriana Menchaca-Mendez,et al. A More Efficient Selection Scheme in iSMS-EMOA , 2014, IBERAMIA.
[8] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[9] María Cristina Riff,et al. A new algorithm for reducing metaheuristic design effort , 2013, 2013 IEEE Congress on Evolutionary Computation.
[10] E. Hughes. Multiple single objective Pareto sampling , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[11] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[12] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[13] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[14] M. Hansen,et al. Evaluating the quality of approximations to the non-dominated set , 1998 .
[15] W. Konen,et al. Sequential Parameter Optimization in Noisy Environments , 2015 .
[16] V. Bowman. On the Relationship of the Tchebycheff Norm and the Efficient Frontier of Multiple-Criteria Objectives , 1976 .
[17] Leslie Pérez Cáceres,et al. The irace package: Iterated racing for automatic algorithm configuration , 2016 .
[18] María Cristina Riff,et al. Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners , 2014, PPSN.
[19] Holger H. Hoos,et al. Automated Algorithm Configuration and Parameter Tuning , 2012, Autonomous Search.
[20] P. Papalambros,et al. A NOTE ON WEIGHTED CRITERIA METHODS FOR COMPROMISE SOLUTIONS IN MULTI-OBJECTIVE OPTIMIZATION , 1996 .
[21] A. E. Eiben,et al. Parameter tuning for configuring and analyzing evolutionary algorithms , 2011, Swarm Evol. Comput..
[22] Thomas Stützle,et al. Automatic Algorithm Configuration Based on Local Search , 2007, AAAI.
[23] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[24] Kalyanmoy Deb,et al. A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results , 2015, EMO.
[25] Jasbir S. Arora,et al. Survey of multi-objective optimization methods for engineering , 2004 .
[26] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[27] A. E. Eiben,et al. Efficient relevance estimation and value calibration of evolutionary algorithm parameters , 2007, 2007 IEEE Congress on Evolutionary Computation.
[28] Rubén Saborido,et al. A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm , 2015, J. Glob. Optim..
[29] António Gaspar-Cunha,et al. Robustness in multi-objective optimization using evolutionary algorithms , 2008, Comput. Optim. Appl..
[30] Hisao Ishibuchi,et al. Relation Between Weight Vectors and Solutions in MOEA/D , 2015, 2015 IEEE Symposium Series on Computational Intelligence.
[31] Michael T. M. Emmerich,et al. Test Problems Based on Lamé Superspheres , 2007, EMO.
[32] Carlos A. Coello Coello,et al. Solving Multiobjective Optimization Problems Using an Artificial Immune System , 2005, Genetic Programming and Evolvable Machines.
[33] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[34] Dick den Hertog,et al. A practical guide to robust optimization , 2015, 1501.02634.
[35] Eckart Zitzler,et al. Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .