Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Xie:2012:ieeeTEC,

• author = "Huayang Xie and Mengjie Zhang",
• title = "Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming",
• journal = "IEEE Transactions on Evolutionary Computation",
• year = "2013",
• volume = "17",
• number = "1",
• pages = "1--19",
• month = feb,
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1089-778X",
• DOI = "doi:10.1109/TEVC.2011.2182652",
• abstract = "Selection pressure restraints the selection of individuals from the current population to produce a new population in the next generation. It gives individuals of higher quality a higher probability of being used to create the next generation so that Evolutionary Algorithms (EAs) can focus on promising regions in the search space. An evolutionary learning process is dynamic and requires different selection pressures at different learning stages in order to speed up convergence or avoid local optima. Therefore, it desires selection mechanisms being able to automatically tune selection pressure during evolution. Tournament selection is a popular selection method in EAs, especially genetic algorithms and Genetic Programming (GP). This paper focuses on tournament selection and shows that the standard tournament selection scheme is unaware of the dynamics in the evolutionary process and that the standard tournament selection scheme is unable to tune selection pressure automatically. This paper then presents a novel approach which integrates the knowledge of the Fitness Rank Distribution (FRD) of a population into tournament selection. Through mathematical modelling, simulations and experimental study in GP, this paper shows that the new approach is effective and using the knowledge of FRD is a promising way to modify the standard tournament selection method for tuning the selection pressure dynamically and automatically along evolution.",
• notes = "also known as \cite{6151120}",

}

Genetic Programming entries for Huayang Jason Xie Mengjie Zhang

Citations