Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Saini:2019:GPTP,
-
author = "Anil Kumar Saini and Lee Spector",
-
title = "Using Modularity Metrics as Design Features to Guide
Evolution in Genetic Programming",
-
booktitle = "Genetic Programming Theory and Practice XVII",
-
year = "2019",
-
editor = "Wolfgang Banzhaf and Erik Goodman and
Leigh Sheneman and Leonardo Trujillo and Bill Worzel",
-
pages = "165--180",
-
address = "East Lansing, MI, USA",
-
month = "16-19 " # may,
-
publisher = "Springer",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-030-39957-3",
-
DOI = "doi:10.1007/978-3-030-39958-0_9",
-
abstract = "Genetic Programming has advanced the state of the art
in the field of software synthesis. However, it has
still not been able to produce some of the more complex
programs routinely written by humans. One of the
heuristics human programmers use to build complex
software is the organization of code into reusable
modules. Ever since the introduction of the concept of
Automatically Defined Functions (ADFs) by John Koza in
the 1990s, the genetic programming community has also
expressed the need to evolve modular programs, but
despite this interest and several subsequent
innovations, the goal of evolving large-scale software
built on reusable modules has not yet been achieved. In
this chapter, we first discuss two modularity metrics:
Reuse and Repetition, and describe the procedure for
calculating them from program code and corresponding
execution traces. We then introduce the concept of
design features, which can be used alongside error
measures to guide evolution. We also demonstrate the
use of modularity design features in parent
selection.",
-
notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the
workshop",
- }
Genetic Programming entries for
Anil Kumar Saini
Lee Spector
Citations