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ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
14 years 2 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
BMCBI
2006
95views more  BMCBI 2006»
13 years 8 months ago
Estimate haplotype frequencies in pedigrees
Background: Haplotype analysis has gained increasing attention in the context of association studies of disease genes and drug responsivities over the last years. The potential us...
Qiangfeng Zhang, YuZhong Zhao, Guoliang Chen, Yun ...
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
14 years 2 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
EUROGP
2001
Springer
124views Optimization» more  EUROGP 2001»
14 years 13 days ago
An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
Massimiliano Erba, Roberto Rossi, Valentino Libera...