About this item
- Title
- On the mapping of genotype to phenotype in evolutionary algorithms
- Content partner
- University of Otago
- Collection
- Otago University Research Archive
- Description
Analogies with molecular biology are frequently used to guide the development of artificial evolutionary search. A number of assumptions are made in using such reasoning, chief among these is that evolution in natural systems is an optimal, or at least best available, search mechanism, and that a decoupling of search space from behaviour encourages effective search. In this paper, we explore these assumptions as they relate to evolutionary algorithms, and discuss philosophical foundations fro...
- Format
- Research paper
- Research format
- Scholarly text / Journal article
- Thesis level
- Article
- Date created
- 2017-09-01
- Creator
- Whigham, Peter A. / Dick, Grant / Maclaurin, James
- URL
- https://hdl.handle.net/10523/25824
- Related subjects
- Computer Science / Computer Science, Artificial Intelligence / Computer Science, Theory & Methods / Science & Technology / Technology
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 21 August 2024, and updated 09 October 2024.
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