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» Evolutionary multiobjective optimization
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GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 5 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 5 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 3 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 3 months ago
MOOLAP: Towards Multi-Objective OLAP
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. When more tha...
Shyam Antony, Ping Wu, Divyakant Agrawal, Amr El A...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 8 months ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...