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GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
14 years 1 months ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska
EVOW
1994
Springer
13 years 11 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay
GPEM
2000
103views more  GPEM 2000»
13 years 7 months ago
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Abstract. Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program s...
William B. Langdon
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 5 months ago
Evolutionary Approach to Test Generation for Functional BIST
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...
ISMB
1994
13 years 8 months ago
Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming
The recently-developedgenetic programming paradigmisused to evoIve a computer program to classify a given protein segment as being a transmembrane domainor non-uansmembranearea of...
John R. Koza