Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization
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[1] Anne Auger,et al. Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point , 2009, FOGA '09.
[2] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[3] Hisao Ishibuchi,et al. Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach , 2009, 2009 IEEE International Conference on Fuzzy Systems.
[4] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[5] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[6] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[7] Hisao Ishibuchi,et al. Single-objective and multi-objective formulations of solution selection for hypervolume maximization , 2009, GECCO '09.
[8] Nicola Beume,et al. SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..