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Inspired by NatureSome Remarks on Code Evolution with Genetic Programming

Inspired by Nature: Some Remarks on Code Evolution with Genetic Programming [In this chapter we take a fresh look at the current status of evolving computer code using Genetic Programming methods. The emphasis is not so much on what has been achieved in detail in the past few years, but on the general research direction of code evolution and its ramifications for GP. We begin with a quick glance at the area of Search-based Software Engineering (SBSE), discuss the history of GP as applied to code evolution, consider various application scenarios, and speculate on techniques that might lead to a scaling-up of present-day approaches.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Inspired by NatureSome Remarks on Code Evolution with Genetic Programming

Part of the Emergence, Complexity and Computation Book Series (volume 28)
Editors: Stepney, Susan; Adamatzky, Andrew
Banzhaf, Wolfgang
Inspired by Nature — Oct 27, 2017
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-67996-9
Pages
145 –156
DOI
10.1007/978-3-319-67997-6_6
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter we take a fresh look at the current status of evolving computer code using Genetic Programming methods. The emphasis is not so much on what has been achieved in detail in the past few years, but on the general research direction of code evolution and its ramifications for GP. We begin with a quick glance at the area of Search-based Software Engineering (SBSE), discuss the history of GP as applied to code evolution, consider various application scenarios, and speculate on techniques that might lead to a scaling-up of present-day approaches.]

Published: Oct 27, 2017

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