Distributed Probabilistic Model-Building Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Distributed Probabilistic Model-Building Genetic Algorithm
Algorithms where offsprings (new search points) are generated according to the estimated probability model of the good parents are called the Probabilistic Model-Building Genetic Algorithms (PMBGAs). In this paper, a new model of PMBGA, Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation between the design variables is considered by PCA when the offsprings are generated. The...
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Distributed Probabilistic Model-building Genetic Algorithms (DPMBGAs) are a new type of Genetic Algorithm. In the DPMBGA, when the offspring are generated, Principal Component Analysis (PCA) considers the correlations among the design variables. Moreover, this model applies the island model to maintain population diversity. The effectiveness of DPMBGA has been demonstrated through optimization ...
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Probabilistic model building Genetic Algorithm (PMBGA) is a novel concept in the field of evolutionary computation which is motivated by an idea of building a probabilistic model of the population to preserve important building blocks in subsequent generation. Growing number of research is being carried out in this field and different variant of PMBGA s has been purposed. Aim of this paper is t...
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DNA microarray allows the monitoring and measurement of the expression levels of thousands of genes simultaneously in an organism. A systematic and computational analysis of this vast amount of data provides understanding and insight into many aspects of biological processes. Recently, there has been a growing interest in classification of patient samples based on these gene expressions. The ma...
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ژورنال
عنوان ژورنال: The Proceedings of OPTIS
سال: 2002
ISSN: 2424-3019
DOI: 10.1299/jsmeoptis.2002.5.65