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108
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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...
107
Voted
IIS
2004
15 years 4 months ago
Application of evolutionary computing to conformational analysis
In this paper we report new results concerning use of genetic algorithms in conformational analysis, field of pharmacy related to discovery and design of new drugs. The goal is to ...
Aleksander Wawer, Franciszek Seredynski, Pascal Bo...
ICML
2003
IEEE
16 years 3 months ago
SimpleSVM
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha...
114
Voted
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 6 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
146
Voted
CODES
2011
IEEE
14 years 2 months ago
Analysis and optimization of fault-tolerant task scheduling on multiprocessor embedded systems
Reliability is a major requirement for most safety-related systems. To meet this requirement, fault-tolerant techniques such as hardware replication and software re-execution are ...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...