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APWEB
2005
Springer
15 years 10 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
142
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EGC
2005
Springer
15 years 10 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
148
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
118
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
150
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...