An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms
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[1] Lucas Bradstreet,et al. Updating exclusive hypervolume contributions cheaply , 2009, 2009 IEEE Congress on Evolutionary Computation.
[2] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[3] M. Farina,et al. On the optimal solution definition for many-criteria optimization problems , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).
[4] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[5] Dario Izzo,et al. Empirical Performance of the Approximation of the Least Hypervolume Contributor , 2014, PPSN.
[6] Nicola Beume,et al. SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..
[7] Jürgen Branke,et al. Multi-objective particle swarm optimization on computer grids , 2007, GECCO '07.
[8] Hisao Ishibuchi,et al. Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.
[9] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[10] Carlos A. Coello Coello,et al. Solving Multiobjective Optimization Problems Using an Artificial Immune System , 2005, Genetic Programming and Evolvable Machines.
[11] Carlos M. Fonseca,et al. Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results , 2011, EMO.
[12] John E. Dennis,et al. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..
[13] Nicola Beume,et al. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion , 2005, EMO.
[14] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[15] Anne Auger,et al. Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point , 2009, FOGA '09.
[16] Eckart Zitzler,et al. Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods , 2007, 2007 IEEE Congress on Evolutionary Computation.
[17] Tobias Friedrich,et al. Convergence of hypervolume-based archiving algorithms ii: competitiveness , 2012, GECCO.
[18] Hisao Ishibuchi,et al. Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions , 2010, GECCO '10.
[19] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[20] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[21] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .
[22] Mark Fleischer,et al. The measure of pareto optima: Applications to multi-objective metaheuristics , 2003 .
[23] Eckart Zitzler,et al. Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings , 2005, EMO.
[24] Tobias Friedrich,et al. Approximating the Volume of Unions and Intersections of High-Dimensional Geometric Objects , 2008, ISAAC.
[25] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[26] Stefan Roth,et al. Covariance Matrix Adaptation for Multi-objective Optimization , 2007, Evolutionary Computation.
[27] Luigi Barone,et al. An evolution strategy with probabilistic mutation for multi-objective optimisation , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[28] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[29] Adriana Menchaca-Mendez,et al. A new selection mechanism based on hypervolume and its locality property , 2013, 2013 IEEE Congress on Evolutionary Computation.
[30] Tobias Friedrich,et al. Approximating the Least Hypervolume Contributor: NP-Hard in General, But Fast in Practice , 2009, EMO.
[31] Tobias Friedrich,et al. Convergence of hypervolume-based archiving algorithms I: effectiveness , 2011, GECCO '11.
[32] Anne Auger,et al. Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives , 2010, PPSN.
[33] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[34] Carlos M. Fonseca,et al. Evolutionary Multi-Criterion Optimization , 2019, Lecture Notes in Computer Science.
[35] M. Fleischer,et al. The Measure of Pareto Optima , 2003, EMO.
[36] David W. Corne,et al. Properties of an adaptive archiving algorithm for storing nondominated vectors , 2003, IEEE Trans. Evol. Comput..
[37] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..