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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 3 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 3 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 1 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
EVOW
2010
Springer
15 years 4 months ago
Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms
Abstract. In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a ...
Ilaria Bertini, Matteo De Felice, Fabio Moretti, S...
PPSN
2004
Springer
15 years 3 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...