2006Unpublished venueRequires access

Geometric Crossover for Biological Sequences

Alberto Moraglio, Riccardo Poli, Rolv Seehuus

Open publisher page 5 citations

Abstract

This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artificial evolution and biological evolution. We define and theoretically study geometric crossover for sequences under edit distance and show its intimate connection with the biological notion of sequence homology.

About this research paper

What this paper is about

This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artificial evolution and biological evolution. We define and theoretically study geometric crossover for sequences under edit distance and show its intimate connection with the biological notion of sequence homology.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artificial evolution and biological evolution. We define and theoretically study geometric crossover for sequences under edit distance and show its intimate connection with the biological notion of sequence homology.

Key concepts: Crossover, Computer science, Persistent homology, Representation (politics), Sequence (biology), Edit distance, Mutation, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Geometric Crossover for Biological Sequences — Research Paper | ScholarLens