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SEAL
1998
Springer
14 years 11 hour ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
IWINAC
2005
Springer
14 years 1 months ago
MEPIDS: Multi-Expression Programming for Intrusion Detection System
Abstract. An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been ...
Crina Grosan, Ajith Abraham, Sang-Yong Han
ICMLA
2007
13 years 9 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
ICSE
2009
IEEE-ACM
14 years 2 months ago
Guided path exploration for regression test generation
Regression test generation aims at generating a test suite that can detect behavioral differences between the original and the modified versions of a program. Regression test gen...
Kunal Taneja, Tao Xie, Nikolai Tillmann, Jonathan ...

Book
1815views
15 years 3 months ago
A Compact Guide to Lex & Yacc
"This document explains how to construct a compiler using lex and yacc. Lex and yacc are tools used to generate lexical analyzers and parsers. I assume you can program in C, a...
Tom Niemann