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107
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GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 6 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
119
Voted
JCM
2007
129views more  JCM 2007»
15 years 2 months ago
Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems
– Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in th...
Yenumula B. Reddy, Nandigam Gajendar
81
Voted
CEC
2007
IEEE
15 years 8 months ago
The importance of a two-level perspective for island model design
— Our theoretical understanding of island models (IMs) is much worse than of single-population evolutionary algorithms (EAs). As a consequence there is relatively little guidance...
Z. Skolicki, K. De Jong
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 6 months ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler
91
Voted
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 3 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston