On Synergistic Interactions Between Evolution, Development and Layered Learning

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

@Article{Hoang:2011:ieeeTEC,

• author = "Tuan-Hao Hoang and R. I. McKay and Daryl Essam and Nguyen Xuan Hoai",
• title = "On Synergistic Interactions Between Evolution, Development and Layered Learning",
• journal = "IEEE Transactions on Evolutionary Computation",
• year = "2011",
• volume = "15",
• number = "3",
• pages = "287--312",
• month = jun,
• keywords = "genetic algorithms, genetic programming, animal development, biological evolution, development learning, evolution learning, evolutionary developmental evaluation, learning theory perspective, lifelong layered learning, plant development, tree-adjoining grammar guided genetic programming, biology, learning systems",
• ISSN = "1089-778X",
• DOI = "doi:10.1109/TEVC.2011.2150752",
• size = "26 pages",
• abstract = "We investigate interactions between evolution, development and lifelong layered learning in a combination we call evolutionary developmental evaluation (EDE), using a specific implementation, developmental tree-adjoining grammar guided genetic programming (GP). The approach is consistent with the process of biological evolution and development in higher animals and plants, and is justifiable from the perspective of learning theory. In experiments, the combination is synergistic, outperforming algorithms using only some of these mechanisms. It is able to solve GP problems that lie well beyond the scaling capabilities of standard GP. The solutions it finds are simple, succinct, and highly structured. We conclude this paper with a number of proposals for further extension of EDE systems.",
• notes = "DTAG3P, TAG3P, tree adjoined grammar (TAG), symbolic regression, k-parity, ordertree Also known as \cite{5898401}",

}

Genetic Programming entries for Tuan-Hao Hoang R I (Bob) McKay Daryl Essam Nguyen Xuan Hoai

Citations