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GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
14 years 3 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
TFS
2008
230views more  TFS 2008»
13 years 9 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
DCC
2010
IEEE
14 years 1 months ago
A Fast Compact Prefix Encoding for Pattern Matching in Limited Resources Devices
This paper improves the Tagged Suboptimal Codes (TSC) compression scheme in several ways. We show how to process the TSC as a universal code. We introduce the TSCk as a family of ...
S. Harrusi, Amir Averbuch, N. Rabin
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 3 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
AAAI
2000
13 years 11 months ago
Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search
Local search algorithms often get trapped in local optima. Algorithms such as tabu search and simulated annealing 'escape' local optima by accepting nonimproving moves. ...
Laura Barbulescu, Jean-Paul Watson, L. Darrell Whi...