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Evolutionary Computation|April 2, 2026
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-TrainingHaokai Hong, Liang Feng, Min Jiang, et al.Evolutionary Computation|May 20, 2005
Estimation of distribution algorithms with Kikuchi approximationsRoberto SantanaEvolutionary Computation|November 21, 2007
Pareto-adaptive epsilon-dominanceAlfredo G Hernández-Díaz, Luis V Santana-Quintero, Carlos A Coello Coello, et al.Evolutionary Computation|May 23, 2018
How to Specify a Reference Point in Hypervolume Calculation for Fair Performance ComparisonHisao Ishibuchi, Ryo Imada, Yu Setoguchi, et al.Evolutionary Computation|July 24, 2003
On the benefits of populations for noisy optimizationDirk V Arnold, Hans-Georg BeyerEvolutionary Computation|July 24, 2003
Genetic diversity as an objective in multi-objective evolutionary algorithmsAndrea Toffolo, Ernesto BeniniEvolutionary Computation|June 14, 2003
General schema theory for genetic programming with subtree-swapping crossover: part IRiccardo Poli, Nicholas Freitag McPheeEvolutionary Computation|June 14, 2003
Modification point depth and genome growth in genetic programmingSean LukeEvolutionary Computation|January 27, 2011
Evolutionary squeaky wheel optimization: a new framework for analysisJingpeng Li, Andrew J Parkes, Edmund K BurkePageof 64