Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes
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[1] Hisao Ishibuchi,et al. Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.
[2] Hisao Ishibuchi,et al. Simultaneous use of different scalarizing functions in MOEA/D , 2010, GECCO '10.
[3] P. N. Suganthan,et al. Ensemble of niching algorithms , 2010, Inf. Sci..
[4] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[5] Qingfu Zhang,et al. Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition , 2009 .
[6] P. N. Suganthan,et al. Ensemble of Constraint Handling Techniques , 2010, IEEE Transactions on Evolutionary Computation.
[7] Ponnuthurai N. Suganthan,et al. Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection , 2010, Inf. Sci..
[8] Ponnuthurai Nagaratnam Suganthan,et al. Two-lbests based multi-objective particle swarm optimizer , 2011 .
[9] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[10] Qingfu Zhang,et al. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances , 2009, 2009 IEEE Congress on Evolutionary Computation.
[11] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.