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Evolutionary Computation|February 16, 2018
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape DecompositionsJosu Ceberio, Borja Calvo, Alexander Mendiburu, et al.Evolutionary Computation|December 18, 2018
Extending the "Open-Closed Principle" to Automated Algorithm ConfigurationJerry Swan, Steven Adriænsen, Adam D Barwell, et al.Evolutionary Computation|September 25, 2008
The crowding approach to niching in genetic algorithmsOle J Mengshoel, David E GoldbergEvolutionary Computation|August 28, 2009
Estimating the ratios of the stationary distribution values for Markov chains modeling evolutionary algorithmsBoris Mitavskiy, Chris CanningsEvolutionary Computation|August 28, 2009
Locating and characterizing the stationary points of the extended Rosenbrock functionSchalk Kok, Carl SandrockEvolutionary Computation|November 21, 2007
Speeding up evolutionary algorithms through asymmetric mutation operatorsBenjamin Doerr, Nils Hebbinghaus, Frank NeumannEvolutionary Computation|September 15, 2005
A filter-based evolutionary algorithm for constrained optimizationLauren Clevenger, Lauren Ferguson, William E HartEvolutionary Computation|September 15, 2005
Efficient genetic algorithms using discretization schedulingLaura A McLay, David E GoldbergEvolutionary Computation|June 22, 2010
On the effect of populations in evolutionary multi-objective optimisationOliver Giel, Per Kristian LehrePageof 64