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» Evolutionary multiobjective optimization
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
JEA
2008
97views more  JEA 2008»
15 years 5 months ago
Approximating the true evolutionary distance between two genomes
As more and more genomes are sequenced, evolutionary biologists are becoming increasingly interested in evolution at the level of whole genomes, in scenarios in which the genome e...
Krister M. Swenson, Mark Marron, Joel V. Earnest-D...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 6 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 11 months ago
Application of evolutionary algorithms in detection of SIP based flooding attacks
The Session Initiation Protocol (SIP) is the de facto standard for user’s session control in the next generation Voice over Internet Protocol (VoIP) networks based on the IP Mul...
M. Ali Akbar, Muddassar Farooq
GECCO
2009
Springer
15 years 11 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao