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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 3 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
EH
2004
IEEE
107views Hardware» more  EH 2004»
14 years 1 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
IPPS
2006
IEEE
14 years 4 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 3 months ago
Stress testing real-time systems with genetic algorithms
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
Lionel C. Briand, Yvan Labiche, Marwa Shousha
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
14 years 1 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard