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» On the Brittleness of Evolutionary Algorithms
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GECCO
2009
Springer
16 years 27 days 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
GECCO
2009
Springer
16 years 27 days ago
An evolutionary approach to planning IEEE 802.16 networks
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Rob...
ISICA
2007
Springer
16 years 14 days ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
IPPS
1999
IEEE
15 years 10 months ago
A Parallel Hybrid Evolutionary Metaheuristic for the Period Vehicle Routing Problem
Abstract. This paper presents a Parallel Hybrid Evolutionary Metaheuristic for the Period Vehicle Routing Problem PVRP. The PRVP generalizes the classical Vehicle Routing Problem b...
Dalessandro Soares Vianna, Luiz Satoru Ochi, L&uac...
CEC
2007
IEEE
15 years 10 months ago
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
I. Carnelli, B. Dachwald, M. Vasile