Journal article
A Genetic Engineering Approach to Genetic Algorithms
Evolutionary computation, v 9(1), pp 71-92
01 Mar 2001
PMID: 11290285
Abstract
We present an extension to the standard genetic algorithm (GA), which is based on concepts of genetic engineering. The motivation is to discover useful and harmful genetic materials and then execute an evolutionary process in such a way that the population becomes increasingly composed of useful genetic material and increasingly free of the harmful genetic material. Compared to the standard GA, it provides some computational advantages as well as a tool for automatic generation of hierarchical genetic representations specifically tailored to suit certain classes of problems.
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Details
- Title
- A Genetic Engineering Approach to Genetic Algorithms
- Creators
- John S. Gero - The University of SydneyVladimir Kazakov - The University of Sydney
- Publication Details
- Evolutionary computation, v 9(1), pp 71-92
- Number of pages
- 22
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000172244700005
- Scopus ID
- 2-s2.0-0035287870
- Other Identifier
- 991022156307004721