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KBSE
1997
IEEE
13 years 12 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
CHI
2004
ACM
14 years 8 months ago
Common sense investing: bridging the gap between expert and novice
In this paper, we describe Common Sense Investing (CSI), an interactive investment tool that uses a knowledge base of common sense statements in conjunction with domain knowledge ...
Ashwani Kumar, Sharad C. Sundararajan, Henry Liebe...
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 10 days ago
Neutrality and variability: two sides of evolvability in linear genetic programming
The notion of evolvability has been put forward to describe the“core mechanism”of natural and artificial evolution. Recently, studies have revealed the influence of the envi...
Ting Hu, Wolfgang Banzhaf
CSB
2004
IEEE
256views Bioinformatics» more  CSB 2004»
13 years 11 months ago
SUPERCONTIGS: A Contig Scaffolding Tool
SUPERCONTIGS is a genome-finishing tool that orders, orients and groups contigs based on clone pair information and an alignment with a related genome. The program can be used in ...
Daniela Puiu