TEC
2008
13 years 12 months ago
2008
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
TEC
2008
14 years 10 days ago
2008
Fingerprinting is a technique for generating a representation-independent functional signature for a game playing agent. Fingerprints can be used to compare agents across represent...
TEC
2008
14 years 10 days ago
2008
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
TEC
2008
14 years 10 days ago
2008
Abstract--We propose a novel variation to biogeographybased optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs...
TEC
2008
14 years 10 days ago
2008
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
TEC
2008
14 years 10 days ago
2008
When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least...
TEC
2008
14 years 10 days ago
2008
Abstract-- This article describes the Candidate Design Environment we developed for efficient identification of promising drug candidates. Developing effective drugs from active mo...
TEC
2008
14 years 10 days ago
2008
We propose the use of a new algorithm to solve multiobjective optimization problems. Our proposal adapts the well-known scatter search template for single objective optimization to...
TEC
2008
14 years 10 days ago
2008
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality...
TEC
2008
14 years 10 days ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...