Continuously Evolving Programs in Genetic Programming using Gradient Descent
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Smart:2004:aspgp,
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author = "Will Smart and Mengjie Zhang",
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title = "Continuously Evolving Programs in Genetic Programming
using Gradient Descent",
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booktitle = "Proceedings of The Second Asian-Pacific Workshop on
Genetic Programming",
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year = "2004",
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editor = "R I Mckay and Sung-Bae Cho",
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pages = "16pp",
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address = "Cairns, Australia",
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month = "6-7 " # dec,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.mcs.vuw.ac.nz/~mengjie/papers/will-meng-apwgp04.pdf",
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size = "16 pages",
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abstract = "gradient descent search in genetic programming for
continuously evolving genetic programs for object
classification problems. An inclusion factor is
introduced to each node in a genetic program and
gradient descent search is applied to the inclusion
factors. Three new on-zero operators and two new
continuous genetic operators are developed for
evolution. This approach is examined and compared with
a basic GP approach on three object classification
problems of varying difficulty. The results suggest
that the new approach can evolve genetic programs
continuously. The new method which uses the standard
genetic operators and gradient descent applied to the
inclusion factors substantially outperforms the basic
GP approach which uses the standard genetic operators
but does not use the gradient descent and inclusion
factors. However, the new method with the continuous
operators and the gradient descent on inclusion factors
decreases the performance on all the problems.",
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notes = "broken
http://sc.snu.ac.kr/~aspgp/aspgp04/programme.html",
- }
Genetic Programming entries for
Will Smart
Mengjie Zhang
Citations