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CEC
2009
IEEE
14 years 2 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
Implementation issues for an interactive evolutionary computation system
The design and development of an Interactive Evolutionary Computation (IEC) system needs to take into account the implementation issues found when delivering the system to “Real...
Mark R. N. Shackelford
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
14 years 1 months ago
An analysis of island models in evolutionary computation
A need for solving more and more complex problems drives the Evolutionary Computation community towards advanced models of Evolutionary Algorithms. One such model is the island mo...
Zbigniew Skolicki
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
14 years 1 months ago
Applying Evolutionary Testing to Search for Critical Defects
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human liv...
André Baresel, Harmen Sthamer, Joachim Wege...