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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
CEC
2007
IEEE
15 years 6 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
ICST
2010
IEEE
14 years 10 months ago
TestFul: An Evolutionary Test Approach for Java
Abstract—This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary...
Luciano Baresi, Pier Luca Lanzi, Matteo Miraz
ADHOCNETS
2009
Springer
15 years 4 months ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 5 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong