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98
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GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
15 years 5 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
100
Voted
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 5 months ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis
87
Voted
WCRE
2002
IEEE
15 years 5 months ago
Exposing Data-Level Parallelism in Sequential Image Processing Algorithms
As new computer architectures are developed to exploit large-scale data-level parallelism, techniques are needed to retarget legacy sequential code to these platforms. Sequential ...
Lewis B. Baumstark Jr., Linda M. Wills
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 5 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 5 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen