On Synergistic Interactions Between Evolution, Development and Layered Learning
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Hoang:2011:ieeeTEC,
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author = "Tuan-Hao Hoang and R. I. McKay and Daryl Essam and
Nguyen Xuan Hoai",
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title = "On Synergistic Interactions Between Evolution,
Development and Layered Learning",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2011",
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volume = "15",
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number = "3",
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pages = "287--312",
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month = jun,
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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",
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ISSN = "1089-778X",
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DOI = "doi:10.1109/TEVC.2011.2150752",
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size = "26 pages",
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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.",
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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