Clique Detection via Genetic Programming

author = "Thomas Haynes",

title = "Clique Detection via Genetic Programming",

number = "UTULSA-MCS-95-02",

institution = "The University of Tulsa",

year = "1995",

month = apr # " 24,",

keywords = "genetic algorithms, genetic programming",

broken = "http://euler.mcs.utulsa.edu/~haynes/tr_clique.ps",

URL = "

http://citeseer.ist.psu.edu/cache/papers/cs/2785/http:zSzzSzeuler.mcs.utulsa.eduzSz~hayneszSztr_clique.pdf/haynes95clique.pdf",

URL = "

http://citeseer.ist.psu.edu/135522.html",

abstract = "Genetic Programming is used as a technique for detecting cliques in a network. Candidate cliques are represented in lists, and the lists are manipulated such that larger cliques are formed from the candidates. The clique detection problem has some interesting implications to the Strongly Typed Genetic Programming paradigm, namely in forming a class hierarchy. The problem is also useful in that it is easy to add noise.",