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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 4 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
PPSN
2004
Springer
15 years 4 months ago
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
Bo Yuan, Marcus Gallagher
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 2 months ago
Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...
Stefan Bleuler, Eckart Zitzler
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 4 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...
PPSN
2004
Springer
15 years 4 months ago
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes
The investigation of evolutionary algorithms as adaptation schemes has a long history starting with Holland (1975). The Ising model from physics leads to a variety of different pr...
Patrick Briest, Dimo Brockhoff, Bastian Degener, M...